Computer Science Graduate Students

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    ItemOpen Access
    On Graphical Modeling of Preference and Comfort
    (2017) Ahmed, Sultan; Mouhoub, Malek
    User's choices involve habitual behavior and genuine decisions. Habitual behavior is often represented using preferences. The conditional preference network (CP-net) is a graphical tool for representing and reasoning about conditional preferences. We argue that genuine decisions are environmentally influenced and we introduce the notion of "comfort" to represent this type of choices. In this paper, we propose a graphical model that we call CP-net with Comfort (CPC-net), to represent and reason about both user's preferences and comfort. The CPC-net extends the CP-net structure with a semantics that accounts user's comfort together with preferences. We indeed show that the CP-net is a special instance of the CPC-net. A CPC-net consists of two optimal outcomes, one for preference and another for comfort. These outcomes can be obtained in time linear on the number of variables for an acyclic CPC-net.
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    ItemOpen Access
    An Approach of Adjusting the Switch Probability based on Dimension Size: A Case Study for Performance Improvement of the Flower Pollination Algorithm
    (arXiv, 2022-08-20) Aziz, Tahsin; Muhammad, Tashreef; Chowdhury, Md Rashedul Karim; Alam, Mohammad Shafiul
    Numerous meta-heuristic algorithms have been influenced by nature. Over the past couple of decades, their quantity has been significantly escalating. The majority of these algorithms attempt to emulate natural biological and physical phenomena. This research concentrates on the Flower Pollination algorithm, which is one of several bio-inspired algorithms. The original approach was suggested for pollen grain exploration and exploitation in confined space using a specific global pollination and local pollination strategy. As a “swarm intelligence" meta-heuristic algorithm, its strength lies in locating the vicinity of the optimum solution rather than identifying the minimum. A modification to the original method is detailed in this work. This research found that by changing the specific value of “switch probability" with dynamic values of different dimension sizes and functions, the outcome was mainly improved over the original flower pollination method.
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    ItemOpen Access
    Frequency Distribution of Prime Numbers between an Integer and its Square: A Case Study
    (arXiv, 2022-09-26) Muhammad, Tashreef; Shahariar, GM; Aziz, Tahsin; Alam, Mohammad Shafiul
    The chronicle of prime numbers travel back thousands of years in human history. Not only the traits of prime numbers have surprised people, but also all those endeavors made for ages to find a pattern in the appearance of prime numbers has been captivating them. Until recently, it was firmly believed that prime numbers do not maintain any pattern of occurrence among themselves. This statement is conferred not to be completely true. This paper is also an attempt to discover a pattern in the occurrence of prime numbers. This work intends to introduce some mathematical well-known equations that point to the existence of a simplistic pattern in the number of primes within the range of a number and its square. We assume that the rigorous evaluation of the perceived pattern may benefit in many aspects such as applications of encryption, algorithms concerning prime numbers, and many more.
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    ItemOpen Access
    Utilizing Technical Data to Discover Similar Companies in Dhaka Stock Exchange
    (arXiv, 2023-01-12) Muhammad, Tashreef; Aziz, Tahsin; Alam, Mohammad Shafiul
    Stock market investment have been an ideal form of investment for many years. Investing capitals smartly in stock market yields high profit returns. But there are many companies available in a market. Currently there are more than 345 active companies who have stocks in Dhaka Stock Exchange (DSE). Analyzing all these companies is quite impossible. However, many companies tend to move together. This study aims at finding which companies in DSE have a close connection and move alongside each other. By analyzing this relation, the investors and traders will be able to analyze a lot of companies’ statistics from a calculating just a handful number of companies. The conducted experiment yielded promising results. It was found that though the system was not given anything other than technical data, it was able to identify companies that show domain specific outcomes. In other words, a relation between technical data and fundamental data was discovered from the conducted experiment.