This study presents an authentication method with self-recovery ability. The hidden watermark in the proposed method not only detects and locates the tampered portion of an image, but also self-recovers the tampered portion. To increase the ability to recover from tampering, the recovery data are shared by using an (r, n) threshold scheme and then scattered all over the image. Experimental resu...

T cells are made tolerant only to those self-peptides that are presented in sufficient amounts by antigen-presenting cells. They ignore cryptic self-determinants, such as either those not generated by processing machinery or generated in insufficient amounts. It is anticipated that mechanisms that either change antigen processing or increase the yield of previously "invisible" peptides may be c...

Self-dual gravity may be reformulated as the two dimensional principal chiral model with the group of area preserving diffeomorphisms as its gauge group. Using this formulation, it is shown that self-dual gravity contains an infinite dimensional hidden symmetry whose generators form the Affine (Kac-Moody) algebra associated with the Lie algebra of area preserving diffeomorphisms. This result pr...

We derive a generalization of the flat space Yang's and Newman's equations for self-dual Yang-Mills fields to (locally) conformally Kahler Riemannian 4-manifolds. The results also apply Einstein metrics (whose full curvature is not necessarily self-dual). analyse possibility hidden symmetries in form Backlund transformations, we find continuous group only case which geometry half-flat. No isome...

This article elaborates on the need for a sub-field of ‘Strategic Thinking’ as the science exploring the hidden side of strategy emergence. The site of our exploration is the discourse. We will investigate the intersystemic link between self-reflection and communication embedded in discourses among strategists for paradigm deconstruction and reconstruction. The rationale for a sub-field of Stra...

In this paper we describe two models for neural grounding of robotic language processing in actions. These models are inspired by concepts of the mirror neuron system in order to produce learning by imitation by combining high-level vision, language and motor command inputs. The models learn to perform and recognise three behaviours, ‘go’, ‘pick’ and ‘lift’. The first single-layer model uses an...