http://dspace.ewubd.edu:8080/handle/123456789/3387 2026-04-05T23:13:37Z http://dspace.ewubd.edu:8080/handle/123456789/3700 BDonor: A Blood Donor Management System Using Mobile Crowdsourcing Ahmed, Rakib; Smrity, Nurunnahar; Das, Hridoy Deb The number of blood donation agencies are limited in developing and developed countries and it is di cult to nd a blood donor of required blood groups. Patients su er a lot and death is occurred in most of the times. Emergency situations such as accidents, ongoing treatments and elective operations create a critical and immediate need for a speci c blood group. In this regard, the easier availability of blood from nearest locations has been given a little attention. In this paper, we present an architecture for and prototype of a blood donation system using crowdsourcing for smartphones whereby anyone at the nearest location can search for their desired blood group. There are currently huge number of people using di erent smartphones of di erent operating systems. The prototype has been built on Android platforms, android Smartphone with built in GPS will be required to able to use the service. If and only if a registered user is willing to donate his/her blood system will send him noti cation of blood donation requests. This system will help users to nd the nearest blood donor. Smartphones collect the exact location information using GPS and send it to the user. Users have to provide their source and destination location for searching the nearest available donor using mobile crowdsourcing. The user can easily detect the donor without wasting any time. The entire system search donor within 5Km radius from the requester location. In future, we will develop our system more congenial with more features. We will implement the system for di erent platform to make the system more friendly. 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. 2020-01-14T00:00:00Z http://dspace.ewubd.edu:8080/handle/123456789/3388 CPTSW: An Efficient Approach for Mining Static Weighted Frequent Patterns From Data Stream Moonmoon, Safa Marwa; Islam, MD. Mominul; Munny, Tasnim Jahan In the recent year data mining is one of the most demanding sectors of computer science which basically deals with discovering frequent patterns by using methodologies, techniques and intelligence tools from databases. As the modern technology is growing rapidly, high volume of data with several features are generated by modern applications. When data set’s flowing velocity is high but applications demand real time analyzing of data depends on immediate features then situation has become more challenging. Several researches has been made in order to assuage the challenges regarding data streams.To find the actual patterns as though the nature of data sets is streams, frequent patterns of those data may be huge and requires further mining. Today’s generation are very much interest in patterns that are significant for them and not just all frequent patterns. Already many researchers work with this topic but they are not enough sufficient. In this thesis we proposing a novel tree based approach, CPTSW-growth which is able to capture the uncertain data streams depending on the importance of applications and only produces significant patterns. 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. 2020-02-25T00:00:00Z