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Jahangir Alam S.M.
Xiamen University, China

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Improved Information Systems Model for Bangladesh Jahangir Alam S.M.; Hu Guoqing; M. Rabiul Alam; Md. Golam Kibria; Md. Abdul Malek
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp4893-4899

Abstract

In the era of globalization, implementation of e-Government (e-Gov) is very crucial because it modernizes the public and private sector for the well being of people. To build the electronic based automatic governance for improving the quality of public services is the prime measure for implementation of e-Governance in Bangladesh. Interoperability is a key issue in implementing an e-Government system. To create a general platform for sharing and exchanging information among different institutions is essential for interoperability. Grid Computing based service could be a solution for resource sharing and interoperability of e-Gov systems.  It is important to prepare standard policies and guidelines for e-Governance so that the desired expectations of interoperability between central and local government agencies can be achieved. Bangladesh government needs a specific policy which will deal with interoperability and ensure transparency and accountability in the Grid Computing Model. 
Characteristics Analysis and Detection Algorithm of Mosquitoes Jahangir Alam S.M.; Hu Guoqing; Cheng Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5368-5378

Abstract

The systematic detection and elimination of mosquitoes is a valuable process, the results of which could be important in the fight against Malaria. In this study, image processing is used, allowing the researchers to detect the mosquitoes and their locations. Mosquitoes' physical characteristics, territorial and behavioral patterns were also analyzed through recognition technology. It is found that mosquitoes can be detected and differentiated by their physical, territorial and behavioral patterns through these methodologies. In addition to mosquitoes, flies and bees are also included in this study and were analyzed for their patterns, as well as their distinguishing features. Size, number of objects, proboscis, body shape, color, antennae, hind legs, and shape parameters were all factors considered for mosquito detection with image processing. All these informations were used in the Mosquito Detection Algorithm. This study provides characteristic descriptions of all three insects and statistical analysis of the data found.
Co-Authors Cheng Chen Hu Guoqing Hu Guoqing M. Rabiul Alam Md. Abdul Malek Md. Golam Kibria