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by
A.R.M. Shariff |
Total Records (
3 ) for
A.R.M. Shariff |
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R.F. A. ElSheikh
,
N. Ahmad
,
A.R.M. Shariff
,
S.K. Balasundram
and
S. Yahaya
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The study aimed to produce an investment classification map, which shows the potential areas of investment in agriculture in Sinnar, Sudan. The spatial multi-criteria analysis was used to rank and display potential locations, while the analytical hierarchy process method was used to compute the priority weights of each criterion. The study attempted to explore the utilization of Geographic Information System (GIS) to map the potential investment areas, therefore, it did not cover a comprehensive analysis of all factors that influence investment in agriculture. In addition, the analysis was limited to criteria that had spatial reference. The investment criteria for spatial analysis were defined from the guidelines provided by the Ministry of Investment, Sudan. Even with the shortcomings of the data, it was found that the results obtained were very encouraging and provided clear indicative areas for agricultural investment in Sinnar. Government agencies can use GIS to access information regarding the potential areas of investment, and minimize investment risks. On the other hand, the economic development organizations will now have the ability to benefit from the Geographic Information System (GIS) solutions by leveraging on this technology to attract and retain business from worldwide sources. Thus, the model will serve as a decision support tool for investors and decision makers at various levels. |
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H. Roshidul
,
A.R.M. Shariff
,
B.S. Blackmore
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I.B. Aris
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A.R.B. Ramli
and
J. Hossen
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Topological descriptions and maps are key prerequisite to any autonomous machine for successful navigation in unpredictable behavior of environment. It is necessary to consider topological map with metric refines of 9-intersaction model for the movement of the robot and react its environment accurately. The aim of present study was to identify the robotics movement and its behavior using natural language spatial relations to process information for robot without computation failures and communication errors. The similarity measure of geometric interpretation is considered for computation for the movement of robot. The splitting metric concepts are used for robotics movement to determine the appropriate way to divide by line in a region. The 16 different metric parameters for natural-language spatial term are considered to find out the appropriate direction for the robotic movement. So that robot will react with behavior of environment with natural language spatial term. There are 32 natural language spatial terms are found for robotic movement from present study found and finally these natural languages with spatial relationship are deployed for robotics movement. All these natural language spatial terms could be used in any research related to spatial technology especially where autonomous machine is used. |
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C.M. Ruzinoor
,
A.R.M. Shariff
,
A.R. Mahmud
and
B. Pradhan
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Geographical Information Systems (GIS) and three dimensional (3D) World Wide Web (WWW) applications usage are on the rise. The demand for online 3D terrain visualization has increased not just for cartographers, geographers, geologists and psychologists but also popular among the ordinary people. The aim of study was to determine that how online 3D terrain visualization could be employed using the most appropriate GIS software by finding the applicable web server to launch the system. The Virtual Reality Markup Language (VRML) was used as the file format for visualizing 3D terrain in online environments. For that purpose, two experiments were conducted in these studies. First experiment involved the comparison of VRML output from four different GIS software in terms of terrain visualization quality (bad, acceptable, better) and data file size (VRML original, VRML compress and image). The technique of 3D terrain draped with satellite imageries was involved in these experiments. The Arc GIS 9.2 software was found to be the best GIS software which produced promising results with high quality of terrain visualization. Second experiment involved on finding the best web servers by comparing four selected web servers at different locations for launching the system online. The Spatial Research Group web server which is located close to the testing environment found to be the best. This is because it has the best value and fastest time for most of the tests being done. Therefore, these findings are useful in guiding the developers to choose the most suitable GIS software for developing online 3D terrain visualization. It is also could assists the developers to choose the applicable web server for the development of online 3D terrain visualization. |
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