Abstract

Abstract

Abstract
In this article we present a strong support to real recursive function theory as a branch of computability theory rooted in mathematical analysis. This new paradiam. connects computation on reals with differential equations and infinite limits in a robust and smooth way. The results presented here are taken mainly from the article (4) of the same authors.

Abstract
Access control to Electronic Patient Records (EPR) may greatly depend on users' objectives and needs. The purpose of this study is to assess the opinions of medical doctors within a university hospital towards access control to an EPR. We selected a randomized sample of 58 doctors from a university hospital and 45 structured interviews were applied. 42 respondents (93%) agree with the existence of access control levels to patient information according to healthcare professionals' category and 31 (69%) think that more sensitive information (e.g. HIV) should be accessed only by doctors that treat those patients. As 24 doctors (53%) feel that there is no need for them to see all information about all the patients, 41 (91%) think that nurses should not be able to do it also. Further, 31 doctors (69%) believe that patients themselves should not access their full medical record. These results show that it is very hard to get to a consensual policy regarding access control to. EPR by its regular users. There is therefore the need for a multidisciplinary agreement that can include healthcare professionals' experiences and needs in order to define the most appropriate and efficient way to perform access control to the EPR.

Abstract
We present a distributed algorithm for cyber-physical systems to obtain a snapshot of sensor data. The snapshot is an approximate representation of sensor data; it is an interpolation as a function of space coordinates. The new algorithm exploits a prioritized Medium Access Controll (MAC) protocol to efficiently transmit information of the sensor data. It scales to a very large number of sensors and it is able to operate in the presence of sensor faults.

Abstract
Three-dimensional (3 D) objects' reconstruction using just bi-dimensional (21)) images has been a major research topic in Computer Vision. However, it is still a hard problem to solve, when automation, speed and precision are required and/or the objects present complex shapes and visual properties. In this paper, we compare two Active Computer Vision methods commonly used for the 3D reconstruction of objects from image sequences, acquired with a single off-the-shelf CCD camera: Structure From Motion (SFM) and Generalized Voxel Coloring (GVC) SFM recovers the 3D shape of an object using the camera(s)'s or object's movement, while VC is a volumetric method that uses photoconsistency measures to build a 31) model for the object. Both methods considered do not impose any kind of restrictions to the relative motion involved.