Non-Newtonian ice rheology and the retention of craters on Ganymede

Calculations carried out for craters of varying sizes in a medium with constant temperature T = 173 K yield values for the crater relaxation time t sub e (defined as the time required for the crater depth to become 1/e of its original value) that appear to be too small to account for the observed retention of craters on Ganymede and the other icy satellites. Such a calculation is seriously in conflict with the observed crater population of the surfaces of the icy satellites. In an attempt to reconcile this conflict, possible explanations for the much slower relaxation rate of craters on the icy satellites are considered. It is possible that an admixture of silicates in the surface ice regions of the icy satellites may raise the viscosity to some extent. This possible explanation and others are briefly discussed

Formal mechanization of device interactions with a process algebra

The principle emphasis is to develop a methodology to formally verify correct synchronization communication of devices in a composed hardware system. Previous system integration efforts have focused on vertical integration of one layer on top of another. This task examines 'horizontal' integration of peer devices. To formally reason about communication, we mechanize a process algebra in the Higher Order Logic (HOL) theorem proving system. Using this formalization we show how four types of device interactions can be represented and verified to behave as specified. The report also describes the specification of a system consisting of an AVM-1 microprocessor and a memory management unit which were verified in previous work. A proof of correct communication is presented, and the extensions to the system specification to add a direct memory device are discussed

Towards composition of verified hardware devices

Computers are being used where no affordable level of testing is adequate. Safety and life critical systems must find a replacement for exhaustive testing to guarantee their correctness. Through a mathematical proof, hardware verification research has focused on device verification and has largely ignored system composition verification. To address these deficiencies, we examine how the current hardware verification methodology can be extended to verify complete systems