Cloud Model Theory is a mathematical method to model the two components of uncertainty, Randomness and Fuzziness in linguistic concepts. This paper introduces a method to assess information, make and fuse decisions in multi-layered sensing systems using the cloud model to process uncertainty. In this research, Cloud model theory is used to model information extracted from digital images taken for the purpose of monitoring and surveillance in multi-layered sensing systems. The extracted information is assessed using the cloud models to make decisions about the level of security situations in the area under surveillance. The threat level of any security situation can be considered as concepts and can be modeled using cloud models to produce assessments; these assessments are then fused to make a decision about the level of the security threat. Cloud models provided a robust methodology to make decisions and evaluate security situations which led to enhanced situation awareness. Test results showed that cloud models performed much better in comparison with just using standard fuzzy logic models.

In this paper, a satellite link budget calculator was done by using MATLAB -GUI program, the link budget is represented in one active screen, and it is designed to show the parameters that affects the RF signal when it is passing through the three main parts of the satellite communication system and regardless of the input signal power level. The results of the link budget program with the effects of changing the parameters will be shown inside the same active screen, which makes the users (students and trainers) analyze the reason that causes the weak signal when it reaches the satellite receiver.