Browsing by Author "Ferdous, Most. Jannatul"

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    BIOT
    (2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), IEEE, 2021-08-19) Biswas, Milon; Akhund, Tajim Md. Niamat Ullah; Ferdous, Most. Jannatul; Kar, Susmita; Anis, Adeeba; Shanto, Sadah Anjum
    Despite what the media can have us to think, block chain has a broad range of applications outside of crypto currencies. From health resources to regulation, real estate, and finance, innovation is poised to transform a wide variety of industries. In any case, agriculture is a little-studied industry that block chain might completely transform. Our general public is supported by this massive sector, which does not be as appealing as banking or medical facilities. More importantly, it has a slew of issues that need to be addressed right away. With the use of information technologies, we expect the agricultural sector can become more secure, transparent, trustworthy, and constructive. The proposed model combines AI, IoT, and Block chain to develop a smart and futuristic agricultural system that provides farmers with a secure and open transaction approach to rich, new, and effective decision support that can specifically create the scope of greater agricultural process productivity and help farmers maximize their benefits. And we believe that the agricultural sector will benefit from the benefits of information technology.
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    Conspiracy Detection by Real Time Email Analysis
    (Daffodil International University, 2018-10) Hasan, Md. Rabiul; Islam, Md. Tarikul; Ferdous, Most. Jannatul
    In this thesis, we have proposed a method to turn this psychological concept into a machine that can automatically detect the conspiracy among the employee by analyzing their email data in real time. Here we have proposed the design using vector based classification method for analyzing the text data. We have used TFIDF method to victimization and prioritize the frequency of conspiracy related word and concept. And also we used Logistic Regression, a prediction based classifier to classify the text sentiment. Supervised vector-based methods to sentiment can design rich lexical meanings. This method for machine learning is largely used in present days. Sentiment analysis for online text document has been a burgeoning field of text mining among researchers for the past few decade. Nevertheless and sentiment analysis on Email data, a ubiquity means of social network and communication, has been studied thoroughly. Email has become the most popular communication tools for official purpose. Almost every private company uses their own mail server for exchanging their official mail. So, it has a great significance in terms of business and communication. In the other hand conspiracy is a social concept that has also a great importance and impact over the working place. It is a pure psychological concept. It influences in the progress of any working place.