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<title>Theses</title>
<link href="http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/57" rel="alternate"/>
<subtitle/>
<id>http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/57</id>
<updated>2026-04-27T00:26:08Z</updated>
<dc:date>2026-04-27T00:26:08Z</dc:date>
<entry>
<title>Transformer Monitoring and Protection System</title>
<link href="http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/9778" rel="alternate"/>
<author>
<name>Bhuiyan, Easin</name>
</author>
<id>http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/9778</id>
<updated>2023-03-02T21:00:43Z</updated>
<published>0023-01-18T00:00:00Z</published>
<summary type="text">Transformer Monitoring and Protection System
Bhuiyan, Easin
One of the most crucial pieces of equipment in the network of the power system is the transformer of the substation. Data collecting, condition monitoring, and automated regulating are significant difficulties in power systems due to the numerous transformers and varied components spread across a huge region. Designing a Transformer monitoring system is the goal of the project. The current monitoring system involves labor, which takes time, and it is challenging to foresee when defects may arise. In this project, we created a system that uses sensors to continually track the properties of the transformer, including the load current, voltage, and oil temperature. On the LCD, these values are continually presented. The relay tripping system is operational and an alarm system is triggered to warn if any irregularities in the transformer occur. The transformer will benefit from this system's smooth operation and early problem detection.
</summary>
<dc:date>0023-01-18T00:00:00Z</dc:date>
</entry>
<entry>
<title>Life Cycle Cost Assessment for Summit 35 Mw (Gas-based Power Plant)</title>
<link href="http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8114" rel="alternate"/>
<author>
<name>Abu Zubair, Shah</name>
</author>
<author>
<name>Islam, Md. Hasibul</name>
</author>
<id>http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8114</id>
<updated>2022-05-31T21:00:40Z</updated>
<published>2020-04-01T00:00:00Z</published>
<summary type="text">Life Cycle Cost Assessment for Summit 35 Mw (Gas-based Power Plant)
Abu Zubair, Shah; Islam, Md. Hasibul
This thesis is on “Life Cycle Cost Assessment” (Gas-based power plant).&#13;
We have selected a power plant named Summit 35 MW Gas-Based power plant. To&#13;
calculate or estimate unit generation cost. Financial and technical data has been&#13;
collected from the EnergyPaC or primary technoeconomic data have been used for&#13;
life cycle cost assessment. Tariff for consumer also estimated based on electricity bill&#13;
or&#13;
Results show that the per unit electricity generation for this power plant is 4.55BDT.&#13;
Estimated consumer tariff is ***.&#13;
We compared the economical issue with Katakhali 50MW (Oil-based power plant).&#13;
For gas and oil based we determined fuel cost. Then we determined the service cost.&#13;
For service cost estimation we determined Operation and maintenance cost, Yearly&#13;
Depreciation (for depreciation calculation we calculated Intangible plant, Production&#13;
Plant &amp; General Plant) Regulatory Working Capital, ECA Loan Calculation,&#13;
Commercial Loan Calculation, Return on Equity Calculation. These are the non-fuel&#13;
cost. Then we summation the fuel cost and non-fuel cost. Then we get the complete&#13;
generating cost/Indicative cost for gas-based power plant and for oil-based power&#13;
plant. Finally we compared them. We found that Gas-based power plant is cheaper&#13;
than Oil-based power plant which is important.
</summary>
<dc:date>2020-04-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Energy Efficiency with a low power consumption of 5G Networks by using Machine Learning</title>
<link href="http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8113" rel="alternate"/>
<author>
<name>Tasin, Md. Sami Al Jaber</name>
</author>
<author>
<name>Hossain, Md. Tuzammal</name>
</author>
<id>http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8113</id>
<updated>2022-05-31T21:00:38Z</updated>
<published>2020-04-01T00:00:00Z</published>
<summary type="text">Energy Efficiency with a low power consumption of 5G Networks by using Machine Learning
Tasin, Md. Sami Al Jaber; Hossain, Md. Tuzammal
In an industry close to green power generation and minimizing power loss, power&#13;
performance is more important than ever in the Wi-Fi community. Basic elements of&#13;
community research and design. The 5G community is expected to offer a wide variety of&#13;
products, including improved mobile broadband, word of mouth, highly reliable large&#13;
equipment, and intermittent delays. A diverse community that uses many technological&#13;
advances to provide a wide range of Wi-Fi products. The 5G network adopts a variety of&#13;
technologies such as software defined networking, community function virtualization, third&#13;
party computing, cloud computing, and small base stations to meet many needs. Therefore,&#13;
the performance of electricity is the most important. To help achieve the mission of power&#13;
productivity in the device community approach, you must be in a prime position and then&#13;
win a huge fan in the studio community., Consider the Device Art utility. Master the 5G&#13;
community strategy to power accessible, adjacent, and central communities. Based on the&#13;
overview, we proposed the classification of plans to introduce 5G equipment to improve&#13;
power productivity. We have discussed many of the challenges that device mastering can&#13;
solve in terms of 5G power performance. Finally, we talk about many of the problems we&#13;
want to solve. Use the full capabilities of the device domain to improve electrical performance&#13;
in 5G networks. The survey provides a wide range of ideas related to the proliferation of 5G&#13;
devices that will solve power performance issues in virtualization and help optimize, power&#13;
distribution, and implement 5G technology. Decorate the power show.
</summary>
<dc:date>2020-04-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Traffic System Analysis with Priority for Emergency Vehicles in Bangladesh</title>
<link href="http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7083" rel="alternate"/>
<author>
<name>Islam, SK. Farhanul</name>
</author>
<id>http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7083</id>
<updated>2022-02-13T21:00:37Z</updated>
<published>2021-07-12T00:00:00Z</published>
<summary type="text">Traffic System Analysis with Priority for Emergency Vehicles in Bangladesh
Islam, SK. Farhanul
The congestion of the road today becomes an important challenge for densely populated&#13;
cities like Dhaka, Bangladesh. Emergency response vehicles are one of the main services&#13;
affected by road delays (e.g. ambulances, fire trucks). This thesis has been developed on&#13;
traffic system analysis with preference for emergency vehicles by controlling the traffic&#13;
signals to smooth the traffic flow for emergency vehicles. The RFID (Radio Frequency&#13;
Identification) technology used to link wirelessly the traffic signals &amp; emergency vehicles&#13;
together. The main concept behind the suggested system is that whenever an emergency&#13;
vehicle comes to a standstill owing to significant traffic congestion, RFID placed at the traffic&#13;
signal (receiver) recognizes the RFID tagged vehicle (transmitter) and communicates the&#13;
information to the microcontroller. The controller IC in this case controls the traffic light&#13;
based on the data received from the receiver. The signal is then turned Green for a short&#13;
period until the vehicle passes past it, at which point it reverts to its normal signaling&#13;
sequence. This technology delivers commands to the microcontroller to control the traffic&#13;
lights and shorten response times during emergencies. It also serves as a mission to save&#13;
lives. There are currently no proven adaptive algorithms, which could give emergency&#13;
vehicles priority in Bangladesh. This analysis can also draw a valuable lesson for the setting&#13;
of signals for emergency vehicles and to enable traffic technicians to establish effective&#13;
emergency signal timing plans. Here I tried to show that how effectively the delays reduced&#13;
by using this technology with some realistic collected data from different traffic scenarios.
</summary>
<dc:date>2021-07-12T00:00:00Z</dc:date>
</entry>
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