No abstract

An electronic nose system for quality control of coffee is designed and tested. The system uses the Figaro TGS800 series sensors with an integrated heating element. The testing of the system is carried out using different types of coffee where it is proved successful in classifying the tested coffees and actual discrimination of ingredients into different classes [10] . Database based software is designed to interface the built hardware and to process the electronic nose signals before being classified.

Abstract:The influence of information and communication technology on the collective activities and interests of a broad range of people was discussed and analyzed. The important consequence of ICT called digital divide was mathematically modeled and the results analyzed. The closed loop feedback model proved the need for a society to be educationally, culturally, economically and politically ready to integrate and implement new technologies into its infrastructure.

An electronic nose system for multi application purposes is designed and tested. Our hardware design allows various types of sensors to be used for different applications. The system is capable of being interfaced to both analog and digital instruments with special filtering devices that isolate the system from surrounding signals. The design of the system is distinguished through the use of two logic controlled micro fans that stabilize the system atmosphere, which surrounds the smelling sensor and also serves an important function of removing any adsorbed odors on the surface of the sensor. Comprehensive mathematics are used to design and describe each part of the presented system, which allows methodical development and changes of the system parameters for future advances. Testing of the hardware was carried out under computer control using various TGS sensors such as TGS822, and TGS824 and TGS30. Database based software with neural network facility was designed to interface the built hardware and to process the electronic nose signals before being classified.