Rajibul Anam

Work place: Samsung R&D Institute Bangladesh, Dhaka, 1205, Bangladesh

E-mail: rajibul.an@samsung.com

Website:

Research Interests: Artificial Intelligence, Autonomic Computing, Computer Architecture and Organization, Models of Computation

Biography

Rajibul Anam obtained  International Diploma in Programming & IT from BRAC Information Technology Institute, Bangladesh, he completed his Bachelor of Information Technology (Honours) (Software Engineering) and Master of Science (Information Technology) by Research, "Mobile Content Adaptation Using Tree-Based Algorithms" from Multimedia University, Cyberjaya, Malaysia. At present he is working as a Senior Software Engineer at the Samsung R&D Institute Bangladesh LTD. He is active in the research field of soft computing.  Research Interests in Soft Computing, Artificial Intelligence and Mobile HCI. Email: rajibulanam@gmail.com

Author Articles
Computer Vision based Automation System for Detecting Objects

By Rajibul Anam Mostafizur Rahman Mohammad Obaidul Haque Md. Syeful Islam

DOI: https://doi.org/10.5815/ijisa.2015.12.07, Pub. Date: 8 Nov. 2015

Software Quality Assurance Testing time computer vision based automation tools are used to test the window based application and window based application is combined of many objects. Among them most of the automation tool detect window objects by comparing images. Most of the objects are visible in the window screen but some objects which are not visible to the screen at the first time. Proper interaction with the window application hidden objects get visible to the screen like dropdown list item, editor text object, list box item and slider. With the automation tools these hidden objects cannot be searched directly. In this paper proposes some methods which will enhance the automation tools to access the window application hidden objects.

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Tree Adapt: Web Content Adaptation for Mobile Devices

By Rajibul Anam Chin Kuan Ho Tek Yong Lim

DOI: https://doi.org/10.5815/ijitcs.2014.09.01, Pub. Date: 8 Aug. 2014

Mobile web browsing usually becomes time-consuming since currently it requires horizontal and vertical scrolling in addition to this, users interested in only a section of a web page are often burdened with cumbersome whole web pages that not only do not properly fit their mobile screens but also require a lot of delivery time. This problem can be addressed and resolved with the help of a mobile web content adaptation system. Existing web content adaptation systems focus on resizing contents to fit a mobile device and removing unnecessary contents from the adapted web page. This paper’s aim is to address the gap by proposing the TreeAdapt which provides a condensed view of an adapted web page. This condensed view consists of only block headers which users can then expand for complete content. In order to achieve this, the proposed algorithm will first categorize an HTML object as menu, block title or the main content. A depth-first traversal algorithm is then used to select the sequence of blocks to be displayed on a mobile device. Usability studies were performed to evaluate the usability of the adapted contents against other deployed systems. Results from the usability studies indicate that the adapted contents produced by the proposed techniques enabled users to locate targeted information within a web page in a shorter span of time.

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