  We study in this paper boundary stabilization, in the L2 sense, of the
one-dimensional Kuramoto-Sivashinsky equation subject to intermittent sensing.
We assume that we measure the state of this spatio-temporal equation on a given
spatial subdomain during certain intervals of time, while we measure the state
on the remaining spatial subdomain during the remaining intervals of time. As a
result, we assign a feedback law at the boundary of the spatial domain and
force to zero the value of the state at the junction of the two subdomains.
Throughout the study, the destabilizing coefficient is assumed to be
space-dependent and bounded but unknown. Adaptive boundary controllers are
designed under different assumptions on the forcing term. In particular, when
the forcing term is null, we guarantee global exponential stability of the
origin. Furthermore, when the forcing term is bounded and admits a known upper
bound, we guarantee input-to-state stability, and only global uniform ultimate
boundedness is guaranteed when the upper bound is unknown. Numerical
simulations are performed to illustrate our results
