Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by S. Sayeed
Total Records ( 2 ) for S. Sayeed
  S. Sayeed , A. Samraj , R. Besar and J. Hossen
  In conjunction with the recent and amazing development of the Internet, online signature verification is being considered with inventive significance. Not only is online signature verification the least controversial of current biometric methods on the market, it is also one of the most acceptable, intuitive, fast and cost effective and operates with compact data. All these factors make it an ultimate solution for document authentication and enterprise workflow. Nowadays, a wide range of equipment is available for digitizing signatures such as palmtop or PDA-type devices, digitizer tablets, pointing devices and smart phones. This paper presents the state of the art in online signature verification. It addresses the most valuable results obtained so far and highlights the most beneficial directions of research to date.
  J. Hossen , S. Sayeed , T. Bhuvaneswari , C. Venkataseshaiah , J. Emerson and Chung Ren Fatt
  In recent years, there has been increasing interest in developing new designs of low cost floor cleaning mobile robots. One of the challenges has been to reduce the number of sensors as it contributes considerably to the cost of the robot. In this study, the design and development of an automated floor cleaning robot which can navigate and clean a floor at the same time is discussed. It involves hardware construction and software implementation. The 2 wheels are centre mounted are used to move the robot in all direction. Electric brush is mounted in front of the cleaning robot to perform the sweep cleaning process and a mini-water pump is installed within the water tank mounted at the back of the cleaning robot to perform the mopping function. A PIC18F46K22 microcontroller and a L293D motor driver are incorporated into the cleaning robot for processing sensors signals and controlling DC motors. The 3 ultrasonic sensors are mounted on the cleaning robot for obstacle avoidance during its navigation. A RF module is installed on the main board to enable wireless control of the robot. Fuzzy logic techniques have been implemented in the control process. A prototype robot was fabricated and tested in a real environment. It has been found that the robot is able to collect hair, dust, small materials and mop the room floor avoiding obstacles during the cleaning process. The proposed method results in a self-navigating obstacle avoiding cleaning robot which is capable of dry and wet cleaning at a lower cost.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility