Browsing by Author "Mahmud, Faisal"

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BRAC students develop games for autistic kids
(The Independent, 2015-07-22) Mahmud, Faisal
Community Detection Algorithm for Social Networking: FaNClust
(Department of Computer Science and Engineering, Military Institute of Science and Technology, 2014-12) Imraul Quyes Imrul, Md; Rubaiyat Rahman, Syed Rijuan; Bin Mosharraf, M. Nafeh; Mahmud, Faisal
The problem of community detection in social media has been widely studied in the social networking community in the context of the structure of the underlying graphs. Most community detection algorithms use the links between the nodes in order to determine the dense regions in the graph. These dense regions are the communities of social media in the graph. Such methods are typically based purely on the linkage structure of the underlying social media network. Community detection algorithms are fundamental tools that allow us to uncover organizational principles in networks. When detecting communities, there are two possible sources of information one can use: the network structure, and the features and attributes of nodes. Even though communities form around nodes that have common edges and common attributes, typically, algorithms have only focused on one of these two data modalities: community detection algorithms traditionally focus only on the network structure, while clustering algorithms mostly consider only node attributes. In this paper, we explore a range of network community detection methods in order to compare them and to understand their relative performance and the systematic biases in the clusters they identify. We evaluate several common objective functions that are used to formalize the notion of a network community, and we examine several different classes of approximation algorithms that aim to optimize such objective functions. In addition, rather than simply ﬁxing an objective and asking for an approximation to the best community of any size, we consider a size-resolved version of the optimization problem. Considering community quality as a function of its size provides a much ﬁner lens with which to examine community detection algorithms, since objective functions and approximation algorithms often have non-obvious size-dependent behavior. And we propose a new algorithm fast Network Clustering Algorithm (FaNClust) for better performance.
Comparison of in Vitro Release Kinetics Between Ventolin® and Brodil®
(East West University, 12/24/2009) Mahmud, Faisal
Purpose: The purpose of this research work was to compare between the release patterns of Vento lin and Brodil tablets. Method: Ten tablets of each of Vento lin (from GlaxoSmith Kline Pharmaceuticals Ltd.) and Brodil (ACI Pharmaceuticals Ltd.) were collected from the market and were justified by physical parameters like hardness, thickness, weight variation, friability and dissolution studies. Release kinetics was measured by using the method inscribed in British Pharmacopoeia. Hardness of the samples from the market was measured by hardness tester. Thickness of the samples was measured by Vernier Calipers. Dissolution of the taken samples was investigated using dissolution tester (RC6, Vanguard Pharmaceuticals, and USA) to evaluate release kinetics. Result: Mean hardness value of Ventolin and Brodil tablets was found to be 11.64N and 14.72 N, respectively. Mean thickness value of Ventolin and Brodil tablets was found to be 8.42 mm and 9.77 mm respectively. Percentage difference ofthe weight variation test ranges from -2.20% to 3.27 % for Ventolin and-2.40% to 3.44% for Brodil. % friability of Ventolin was found to be 0.17 and of Brodil was found to be - 0.14. Conclusion: The release pattern of Ventolin tablet meet the requirement to not provide desired and optimum therapeutic efficacy, which is ensured by release kinetics of Brodil.
Test Monitoring & Test Control During Software Test Execution
(Daffodil International University, 2021-01-10) Mahmud, Faisal
This guide is intended to “Test Monitoring & Test Control during Software Test Execution" interested in applying automation to software testing. It involves a system engineering process based on the scientific method to conduct and achieve an automation capability and the critical need to perform a return-on-investment analysis to make the business case for automation. For the first time, some businesses are considering automation. For that audience, we recommend following through with all of the steps outlined in the installation guide—others organizations with prior automation experience. There is also a plethora of information accessible. There is a wealth of information in textbooks and on the internet. Some software acquisition programs have had some automation exposure or experience and are looking to improve one or more parts of their automation process. Typical objectives are to select additional system functions or capabilities to automate, secure more Automators, or change or expand the tools used. Only a portion of the guide may apply to those individuals. The following phases of implementation are used to arrange the guide.
The ‘hardware’ dreams
(Dhaka Tribune, 2015-06-25) Mahmud, Faisal
The real steel
(Dhaka Tribune, 2014-02-14) Mahmud, Faisal