Konstantinos Moustakas. Electrical, Computer Engineering Department, University of Patras, Rio-Patras Researcher, Greece Researcher

This paper presents a novel framework for point-bas ed similarity estimation between 3D objects and 2.5D visual hulls. Initially, the protrusion map is estim ated for both the visual hull that is generated by a range image and the 3D model that is followed by the extraction of the salient features that correspond to the highly protruding areas of the objects. Then, based on the concept that for a 3D object and a corresponding query range image, there should be a vi rtual camera with such intrinsic and extrinsic parameters that would generate an optimum range image, in terms of minimizing an error function that takes into account the visual hull and the salient features of the objects, when compared to other parameter sets or other target 3D models, matching is performed via estimating dissimilarity within the range image and salient feature space. Experimental results illustrate the efficiency of the proposed approach in benchmark datasets.

CAPANNA Claire (, 2) Researcher, JORDA Laurent (1), LAMY Philippe (1) (1) Aix-Marseille Université, CNRS Researcher, UMR, Laboratoire d'Astrophysique de Marseille, Marseille Researcher

This article tackles the problem of reconstructing the 3D shape model of asteroids and cometary nuclei from images obtained with a visible imaging system aboard a planetary spacecraft. We describe a photoclinometry method based on the optimization of the chi-square difference between observed and synthetic images of the object by deformations of its initial shape, described here as a mesh of triangular facets. The non-linear optimization is performed using the so-calle d “limited-memory Broyden-Fletcher-Golbfarb-Shanno” algorithm. The defo rmations can be applied: (i) by modifying the coefficients of a spherical harmonics expansion in order to extract the global shape of the object, and/or (ii) by moving the height of the vertices of a tria ngular mesh in order to increase the accuracy of the global shape model and/or to derive local topographic maps of the surface. This method has been tested on images of the asteroids Steins and Lutetia obt ained by the imaging system aboard the Rosetta spacecraft of the European Space Agency.

Pere-Pau Vázquez. MOVING Group, Universitat Politècnica de Catalunya. Jordi Marco. Dep. LSI, Universitat Politècnica de Catalunya.

Image registration is an important task in medicine, especially when images have been acquired by different scanner/sensor types, since they provid e information on different body structures (bones, muscles, vessels…). Severa l techniques have been proposed in th e past, and among those, Normalized Mutual Information has been proven as successful in many cases. Recently, Normalized Compression Distance, that makes use of real-world compresso rs, has been proposed as a simple yet effective technique for image registration. It is especially suitable for the case of CT-MRI registration, and may improve timings over Normalized Mutual Information. However, other image modalities such as PET pose some problems and do not achieve accurate registration. In this paper we analyze and propose a valid approach for image registration using compressi on that works properly for different combinations of CT, MRI and PET images.

Fangde Liu . Mechanical Engineering Department, Imperial College London.

Physics-based motion synthesis is usually difficult and takes long computational time. However biological research works show that human beings an d animals take very little effort to control their motion. The idea is that instead of controlling mo tion in every detail, natural animals may only main tain or tweaks some qualitative properties of its motion and utilizes the complicate interaction between bo dy and environment. Inspired by this theory, in this p aper, a novel method is proposed for motion synthes is. Based on the theory of qualitative dynamics, adaptiv e motion control is achieved through manipulating the topological structure of the dynamic system, wh ich enhance the structural stability, rather than counteracting the perturbation effects. Compared wit h current methods, the new method is extremely efficient for it requires little computation and could be accelerated by GPU.

Christiane P. Ribeiro, Márcio Castro, Vania Marangozova-Martin, Jean-François Méhaut. Nanosim team, Laboratoire d’Informatique de Grenoble (LIG), CNRS Researcher

Modern multi-core platforms feature complex topologies with different cache levels and hierarchical memory subsystems. Consequently, thread and da ta placement become crucial to achieve good performance. In this context, CPU and memory affinity appear as a promising approach to match the application characteristics to the underlying architecture. In th is paper, we evaluate CPU and memory affinity strategies for numerical scientific multithreaded benchmarks on multi-core platforms. We use and analyze hardware performance event counters in order to have a better understanding of such impact. Indeed, the results obtained on different multi-core platforms and Linux kernels show that important performance improvements (up to 70%) can be obtained when applying affinity strategies that fit both the application and the platform characteristics.

Liziane Santos Soares, Roberto Tom Price, Marcelo Soares Pimenta. Instituto de Informática, Universidade Federal do Rio Grande do Sul. Caixa Postal, 91501–970. Porto

Several architectural patterns are described in books, papers and in repositories. Due to the huge amount of information related to patterns description and their application, it is important to have approaches and tools available to help developers carry on the selec tion of the patterns more suited to each software project. The reasoning behind architect ural decisions, regarding pattern se lection, usually exists in the form of tacit knowledge. It is important to make th is knowledge explicit by mapping the patterns and the domains where they are most often used. This work proposes a knowledge-based approach to accomplish the architectural patterns selection, according to each project. The approach aims at supporting the construction and maintenance of a knowledge-base to gui de the selection. We bui lt an initial base as a suggestion, relying on recommendations of specialists found in the lite rature. Each team or institution can build its own base or enhance an existing one through the structure offered by the approach. The input for pattern selection consists , basically, of information availa ble in systems requirements. The proposal presented is one step towards the automa tion of architectural pattern selection during on architectural design.

Paolo Locatelli, Nicola Restifo, Roberta Facchini. Fondazione Politecnico di Milano

Therapy management is a critical clinical process that involves a variety of procedures (drugs, transfusions, medications,..), different professionals, a number of pr otocols, and medical instruments. It is an “error prone” process and mistakes may lead to harsh consequences. In this scenario ICTs become essential for support and governance. Nowadays beds ide activities are still of ten managed manually and literature shows that processes are managed differe ntly and supported by paper or local IT tools. Challenges are: secure patient and item identification, comprehensive information delivery to clinicians, traceability and control of costs. Fondazione IRCCS Istituto Nazionale dei Tumori di Milano (Italy) and partner Fondazione Politecnico di Milano follow an unified approach addressing in an integrated framework processes, organization and ICT tools. This paper will describe the case of a num ber of projects done to bring safety features to bedside using Mobile&Wireless (M&W ) technologies, and RFId above all. Starting with transfusion traceability, further projects concern safety of ph armacotherapy, radiotherapy and stem cells therapy treatments. Mobile&Wireless solution scenarios, impact s and benefits will be discussed in depth: RFId emerges as a key element to close the bedside safety loop, filling the gap left by traditional hospital information systems and M&W applications.

Eva Gattnar. Clinical Competence Center Cardiology, Siemens Healthcare, Allee am Röthelheimpark

This peer-reviewed paper presents original scientific research in computer science and information systems, addressing "Process Information Transfer and Analysis in Hospitals Using Hospital Information Systems, Communication Standards and Process Models". The authors discuss theoretical foundations, system architectures, empirical evaluations, and practical implications for modern digital ecosystems. Published in IJCSIS Vol. 7 No. 1 (2012).

Maxim Bakaev. Department of Economic Informatics, Novosibirsk State Technical University, Russia. Researcher

The paper suggests a model for selection tasks that are widespread in modern interaction on the WWW, as well as the means to evaluate performance as hum an processor throughput. Selection tasks are considered the combination of choice and movement stages, which are traditionally modelled with Hick- Hyman and Fitts’ laws respectively. However, as the former seems to fall short in most real interactions, we propose the model based on visual search time (VST) instead. Search area size (S 0), sought element size (S) and the number of alternatives (N) were elected as primary factors for VST, although vocabulary size and number of search keys are also considered. In the result of experimentation with 28 subjects of different age groups, VST was suggested as the logarithm of the ratio between S 0 and S, with N not being significant. Index of selection difficulty (ID S) is proposed based on Fitts’ ID, as well as subsequent notion of selection throughput (TPS), whose mean value in the experimentation amounted to 12.6 bit/s. The models might assist in creating more usable web interfaces, justifying interface elements’ and blocks’ sizes and hierarchy and allowing the eval uation of various interface designs via selection tasks throughput performance measure.

Pedro Isaías

Editorial preface for Volume 7, Issue 1 of the IADIS International Journal on Computer Science and Information Systems (IJCSIS). This issue brings together peer-reviewed original research contributions covering the wide spectrum of Information Systems, Artificial Intelligence, Software Engineering, and Digital Transformation.