Search results for "computer.software_genre"

A framework for vertex reconstruction in the ATLAS experiment at LHC

2010

In anticipation of the first LHC data to come, a considerable effort has been devoted to ensure the efficient reconstruction of vertices in the ATLAS detector. This includes the reconstruction of photon conversions, long lived particles, secondary vertices in jets as well as finding and fitting of primary vertices. The implementation of the corresponding algorithms requires a modular design based on the use of abstract interfaces and a common Event Data Model. An enhanced software framework addressing various physics applications of vertex reconstruction has been developed in the ATLAS experiment. Presented in this paper are the general principles of this framework. A particular emphasis is…

Above the Sentence Level

2021

Print and online newspapers as material artefacts

2014

Traditional newspaper journalism is in a state of crisis and there have been several attempts to overcome this. Many discourses have reiterated the triumphal march of a digital revolution in newspaper journalism and anticipated the end of the print newspaper. This moment calls for an in-depth analysis of reader habits of news consumption and use in order to understand the audiences for journalistic output and their relationship with the journalistic objects. In this study, we adopt a multi-method approach, integrating (1) qualitative content analysis of student essays dealing with the physicality of printed and online newspapers, (2) ethnographic observation of the use practices of readers…

H2S: A Secure and Efficient Data Aggregative Retrieval Scheme in Unattended Wireless Sensor Networks

2009

In unattended wireless sensor networks, data are stored locally and retrieved on demand. To efficiently transmit the collector’s retrieval results, data are aggregated along being forwarded. The data confidentiality and integrity should be protected at the intermediate nodes. End-to-end encryption or hop-by-hop encryption based schemes are not efficient. Straightforward homomorphic encryption based scheme is not compromise resilient. To achieve all the desires, we propose a scheme - H2S by making use of both homomorphic secret sharing and homomorphic encryption. The security and efficiency of our scheme are justified by extensive analysis.

Bridging human and machine learning for the needs of collective intelligence development

2020

There are no doubts that artificial and human intelligence enhance and complement each other. They are stronger together as a team of Collective (Collaborative) Intelligence. Both require training for personal development and high performance. However, the approaches to training (human vs. machine learning) are traditionally very different. If one needs efficient hybrid collective intelligence team, e.g. for managing processes within the Industry 4.0, then all the team members have to learn together. In this paper we point out the need for bridging the gap between the human and machine learning, so that some approaches used in machine learning will be useful for humans and vice-versa, some …

Robust Ergonomic Virtual Design

2009

Since early development phases of a new industrial product, realistic simulations can be performed in virtual environment to study the human-machine interaction. In a virtual lab it is possible to make experiments to assess the ergonomics of the new product with manikins simulating the human body, and dealing with the problem of anthropometrical variation. Although such sophisticated tools are available, there is still need of a methodo-logical framework aimed at efficiently organizing the experiments in virtual lab. This paper provides an overview of the Robust Ergonomic Virtual Design (REVD), a methodology developed by the authors in the course of the last years. It allows obtaining produ…

Book review: Handling Digital Brains: A Laboratory Study of Multimodal Semiotic Interaction in the Age of Computers by Morana Alec (2011)

2012

Nonlinear Dynamics Techniques for the Detection of the Brain Areas Using MER Signals

2008

A methodology for identifying brain areas from the brain MER signals (microelectrode recordings) is presented, which is based on a nonlinear feature set. We propose nonlinear dynamics measures such as correlation dimension, Hurst exponent and the largest Lyapunov exponent to characterize the dynamic structure. The MER records belong to the Polytechnical University of Valencia, 24 records for each zone (black substance, thalamus, subthalamus nucleus and uncertain area). The detection of each area using characteristics derived from complexity analysis was obtained through a classifier (support vector machine). The joint information between areas is remarkable and the best accuracy result was …

Towards Model-Based Reinforcement Learning for Industry-Near Environments

2019

Deep reinforcement learning has over the past few years shown great potential in learning near-optimal control in complex simulated environments with little visible information. Rainbow (Q-Learning) and PPO (Policy Optimisation) have shown outstanding performance in a variety of tasks, including Atari 2600, MuJoCo, and Roboschool test suite. Although these algorithms are fundamentally different, both suffer from high variance, low sample efficiency, and hyperparameter sensitivity that, in practice, make these algorithms a no-go for critical operations in the industry.

Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

2020

Most supervised text classification approaches assume a closed world, counting on all classes being present in the data at training time. This assumption can lead to unpredictable behaviour during operation, whenever novel, previously unseen, classes appear. Although deep learning-based methods have recently been used for novelty detection, they are challenging to interpret due to their black-box nature. This paper addresses \emph{interpretable} open-world text classification, where the trained classifier must deal with novel classes during operation. To this end, we extend the recently introduced Tsetlin machine (TM) with a novelty scoring mechanism. The mechanism uses the conjunctive clau…