Symmetric 1-designs from PGL2(q), for q an odd prime power

All non-trivial point and block-primitive 1-(v, k, k) designs 𝓓 that admit the group G = PGL2(q), where q is a power of an odd prime, as a permutation group of automorphisms are determined. These self-dual and symmetric 1-designs are constructed by defining { |M|/|M ∩ Mg|: g ∈ G } to be the set of orbit lengths of the primitive action of G on the conjugates of M.

Essentially Intentional Action Types

Chapter 6 lays groundwork for explaining what a constitutive rule is and how they underwrite certain important forms of constitutive agency by giving an analysis of the concept of a certain category of essentially intentional action type, and locating it in a taxonomy of essentially intentional action types. It begins with an overview of essentially intentional action types. Next it analyzes one sort of essentially intentional action type as involving two components, a requirement that a certain activity pattern be instantiated and a requirement that it be instantiated intentionally, focusing on tic-tac-toe as an example. It distinguishes these sorts of essentially intentional action types from those defined by an intentionally pursued goal. It discusses briefly essentially intentional primitive action types, and then takes up a puzzle about intending to perform essentially intentional action types. It concludes with a taxonomy of essentially intentional action types by way of summary.

Abnormal Action Recognition in Power Production

Safety is of importance for power production. It is known that kinds of abnormal action in power production are concerned with objects. Different from many abnormal action recognitions researches, which ignore the interactive relationship between human and objects, this paper proposes an approach for the specific abnormal action based objects recognition in power production. The major contributions of the paper are to employ an object-based framework for description of hand-trajectory information, reference particle filter for primitive action locating and realize time cost decrease through human silhouette block analysis. Different from simplex trajectory based approach, the presented approach consists of types of trajectory features which belong to specific object and each primitive action is relevant to specific object model. It is verified by experiment that the approach performs on certain abnormal action recognition at an effective level.