The ATLAS detector as installed in its experimental cavern at point 1 at CERN is described in this paper. A brief overview of the expected performance of the detector when the Large Hadron Collider begins operation is also presented.

The ATLAS Experiment at the CERN Large Hadron Collider

An Introduction to MultiAgent Systems.

A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4l decay channels. The results are obtained from a simultaneous fit to the reconstructed invariant mass peaks in the two channels and for the two experiments. The measured masses from the individual channels and the two experiments are found to be consistent among themselves. The combined measured mass of the Higgs boson is mH=125.09±0.21 (stat)±0.11 (syst)  GeV.

/pdf/combined-measurement-of-the-higgs-boson-mass-in-pp-3ml7f5avlr.pdf

Combined Measurement of the Higgs Boson Mass in pp Collisions at √s=7 and 8 TeV with the ATLAS and CMS Experiments

The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle collisions, through packages simulating the response of the various detectors and triggers. All of these components come together under the ATLAS simulation infrastructure. In this paper, that infrastructure is discussed, including that supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors. Also described are the tools allowing the software validation, performance testing, and the validation of the simulated output against known physics processes.

/pdf/the-atlas-simulation-infrastructure-gw5d3ea9bf.pdf

The ATLAS Simulation Infrastructure

From the Publisher:
Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design of nonlinear controllers based on fuzzy models. The main features of the presented techniques are illustrated by means of simple examples. In addition, three real-world applications are described. Finally, software tools for building fuzzy models from measurements are available from the author.

Fuzzy Modeling for Control

Transient security assessment is an important part of power systems operation. In particular, on-line assessment is a present need in large power systems. This paper presents a feasible method based on pattern recognition techniques where all the on-line calculations for transient security assessment are replaced by the only evaluation of the sign of a security function dependent on measurements directly obtained from the power system. This security function has learning capacity to adapt to different network configurations and to new load and generation schedules, becoming, after sometime, independent of the power system model and of the methodology adopted in the off-line design.

Transient security assessment in power systems

http://www.dem.ist.utl.pt/~cardeira/papers/incom2006.pdf

Integrating mobile robots development and competitions in engineering curricula

Despite the great advances in the theory and applications of fractional calculus, some topics remain unclear making difficult its use in a systematic way. This paper studies the fractional differintegration definition problem from a systems point of view. Both local (Grunwald-Letnikov) and global (conventional) definitions are considered. It is shown that the Cauchy formulation must be adopted since it is coherent with usual practice in signal processing and control applications

/pdf/considerations-about-the-choice-of-a-differintegrator-127i28racl.pdf

J.M.G. Sá da Costa

Papers

Transient security assessment in power systems

Integrating mobile robots development and competitions in engineering curricula

Considerations about the choice of a differintegrator

Fault isolation approach using a PROFIBUS network: a case study

A Fault Detection And Diagnosis Methodology For Chemical Processes