Abstract-Performance limits of multimodal detection systems are analyzed in this paper. Two main setups are analyzed, i.e., based on fusion of dependent and independent modalities, respectively. The analysis is performed in terms of attainable probability of detection errors characterized by the corresponding error exponents. It is demonstrated that an expected performance gain from fusion of dependent modalities is superior than in the case when one fuses independent signals. In order to quantify the efficiency of dependent modality fusion versus the independent case, the problem analysis is performed in the Gaussian formulation.
Religion plays a vital role in the formation of communities and the interaction of cultures, yet is largely ignored in psychological texts. Contemporary religious trends across the globe are rapidly changing. For example, less people are adhering to traditional forms of religious practice, Atheism and secular beliefs are becoming increasingly common and valid, and acts of terror are commonly perceived as motivated by religion. This chapter discusses the operationalization of religion as a variable in scientific research (i.e., religious affiliation vs. use of religion in daily life) before discussing how this operationalization impacts our existing understanding of the relationship between religion and intra- (e.g., coping, personal decision making) and inter-personal (e.g., attitudes and behaviours towards outgroup members) psychological processes. The chapter closes with a discussion of challenges for the future of this field and recommendations for the measurement of this complex variable.
Publication . Part of book or chapter of book . 2011
We present a new method for forecasting systems of multiple interrelated time series. The method learns the forecast models together with discovering leading indicators from within the system that serve as good predictors improving the forecast accuracy and a cluster structure of the predictive tasks around these. The method is based on the classical linear vector autoregressive model (VAR) and links the discovery of the leading indicators to inferring sparse graphs of Granger causality. We formulate a new constrained optimisation problem to promote the desired sparse structures across the models and the sharing of information amongst the learning tasks in a multi-task manner. We propose an algorithm for solving the problem and document on a battery of synthetic and real-data experiments the advantages of our new method over baseline VAR models as well as the state-of-the-art sparse VAR learning methods.
Publication . Conference object . Part of book or chapter of book . 2002
Project: SNSF | Design and construction o... (63870)
GATE, the Geant4 Application for Tomographic Emission, is a simulation platform developed for PET and SPECT. It combines a powerful simulation core (the Geant4 toolkit) and a large range of developments dedicated to nuclear medicine. In particular, it models the passing of time during real acquisitions, allowing to handle dynamic systems such as decaying source distributions or moving detectors. We present several series of results that illustrate the possibilities of this new platform. The simulation of decaying sources is illustrated on a dual-isotope acquisition with multiple time-frames. Count rate curves taking into account random coincidences and dead-time are shown for a dual-crystal set-up and for a small-animal PET scanner configuration. Simulated resolution curves and reconstructed images are shown for rotating PET scanners. Lastly, we present comparisons of simulated point-spread functions and spectra with experimental results obtained from a small-animal gamma camera prototype.
Atmospheric turbidity is shown to have a major influence on direct luminous efficacy. Based on this observation a physical direct luminous efficacy model is derived from spectrally integrated turbidity equations. Two independent data banks are used to validate this model in comparison to state of the art direct luminous efficacy models found in the literature. Atmospheric turbidity is estimated from horizontal visibility measurements.
Publication . Part of book or chapter of book . 2006
The conclusion of multilateral environmental agreements (MEAs) is one of the greatest achievements of the past few decades in the field of international environmental law. There are several ways in which the provision of technical and financial assistance plays a role as an ex ante means for inducing compliance. Treaties dealing with oil pollution provide one such example. Non-compliance procedures have been created within the framework of several MEAs. Provision of assistance to enable Parties to achieve compliance is typical in these new compliance procedures. One of the essential features of these mechanisms is the effort to ensure continuing cooperation between States, even in case of non-compliance by some Parties. In the field of dispute resolution, technical and financial assistance may be provided to developing countries to encourage these States to have recourse to an international third party body for the settlement of their disputes. Keywords: compliance procedures; dispute resolution; financial assistance; international environmental law; multilateral environmental agreements (MEAs); technical assistance
Publisher: Czech Political Science Association (Prague)
What does it mean to be moral ? What does it mean to be a moral political man ? This contribution takes Lawrence Kohlberg's theory of moral development as the analytical frame to answer these questions. Based on the writings of Vaclav Havel, political dissident and then first president of the postcommunist Tchecoslovakian Republic, our study displays how emblematic a moral man and political man Vaclav Havel has been.
Publication . Part of book or chapter of book . Other literature type . Conference object . 2018
Part 6: Industry 4.0 - Smart Factory; International audience; The current industrial revolution is said to be driven by the digitization that exploits connected information across all aspects of manufacturing. Standards have been recognized as an important enabler. Ontology-based information standard may provide benefits not offered by current information standards. Although there have been ontologies developed in the industrial manufacturing domain, they have been fragmented and inconsistent, and little has received a standard status. With successes in developing coherent ontologies in the biological, biomedical, and financial domains, an effort called Industrial Ontologies Foundry (IOF) has been formed to pursue the same goal for the industrial manufacturing domain. However, developing a coherent ontology covering the entire industrial manufacturing domain has been known to be a mountainous challenge because of the multidisciplinary nature of manufacturing. To manage the scope and expectations, the IOF community kicked-off its effort with a proof-of-concept (POC) project. This paper describes the developments within the project. It also provides a brief update on the IOF organizational set up.