Protected-module architectures such as Intel SGX provide strong isolation guarantees to sensitive parts of applications while the system is up and running. Unfortunately systems in practice crash, go down for reboots or lose power at unexpected moments in time. To deal with such events, additional security measures need to be taken to guarantee that stateful modules will either recover their st...

This paper discusses unsupervised learning of orthogonal concepts on relational data. Relational predicates, while formally equivalent to the features of the concept-learning literature, are not a good basis for de ning concepts. Hence the current task demands a much larger search space than traditional concept learning algorithms, the sort of space explored by connectionist algorithms. However...

This work presents the minimal length paths, for a robot that maintains risibility of a landmark. The robot is a differential drive system and has limited sensing capabilities (range and angle of view). The optimal paths are eomposed of straight liner and curves that saturate L e Camera pan angle.

The classical minimal model of glucose disposal was proposed as a powerful modeling approach to estimating the insulin sensitivity and the glucose effectiveness, which are very useful in the study of diabetes. The minimal model is a highly ill-posed inverse problem and most often the reconstruction of the glucose kinetics has been done by deterministic iterative numerical algorithms. However, t...

In this work, we propose a new research direction into minimal assembling agents. Our goal is to use very simple, inflexible assembling units to form complex and flexible assemblies (or meta-modules), guided by global environmental signals. Instead of the focus in modular robotics and self-assembly on creating maximally flexible and programmable assembling units (Yim et al., 2007, IEEE Rob. Aut...

Data cube has been playing an essential role in fast OLAP (online analytical processing) in many multi-dimensional data warehouses. However, there exist data sets in applications like bioinformatics, statistics, and text processing that are characterized by high dimensionality, e.g., over 100 dimensions, and moderate size, e.g., around 10 tuples. No feasible data cube can be constructed with su...

This paper provides a starting point for psychological research on the sense of commitment within the context of joint action. We begin by formulating three desiderata: to illuminate the motivational factors that lead agents to feel and act committed, to pick out the cognitive processes and situational factors that lead agents to sense that implicit commitments are in place, and to illuminate t...

We present a set of problem frames specialized to the area of geographic applications. Problem frames describe the elements of common problems, and help a specifier understand and decompose a complex problem into simpler subproblems for which a solution is often known. We provide an overview of the main issues in geographic applications, and present twelve frames that address many of the proble...

The present article argues for what is essentially a return to the functionalist approach to investigation of memory. Two experiments demonstrate that the effects of level of processing depend on scaled meaningfulness of the material and study time. Data from those experiments along with data currently in the literature are then reanalyzed to examine the effect of repetitions. Of particular int...