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38th International Cosmic Ray Conference, ICRC 2023

作者： Calvo, D. Real, D. Jansweijer, P. van Beveren, V. Schmelling, J.W. Pellegrini, G. Diaz, A. Colonges, S. Champion, C. Benfenati, F. Filippini, F. Chiarusi, T. Musico, P. Litrico, P. Zornoza, J.D. Gozzini, R. c/ Catedrático José Beltrán 2 Paterna Valencia46980 Spain Nikhef National Institute for Subatomic Physics PO Box 41882 Amsterdam1009 DB Netherlands University of Granada Dept. of Computer Architecture and Technology/CITIC Granada18071 Spain APC Université Paris Diderot CNRS IN2P3 CEA/IRFU Observatoire de Paris Sorbonne Paris Cité Paris75205 France INFN Sezione di Bologna v.le C. Berti-Pichat 6/2 Bologna40127 Italy INFN Sezione di Genova Via Dodecaneso 33 Genova16146 Italy INFN Laboratori Nazionali del Sud Via Santa Sofia62 CataniaCT - 95123 Italy

The KM3NeT Collaboration is building and operating two deep-sea neutrino telescopes at the bottom of the Mediterranean Sea. The telescopes consist of lattices of light detectors housed in pressure-resistant glass spheres, the so-called digital optical modules, which house 31 3-inches of diameter photomultipliers, as well as the acquisition electronics. The so-called detection units are vertical strings along which digital optical modules are installed. For the first phase of the construction of the telescopes, several tens of detection units have been produced, out of which almost 40 have already been deployed with more than 20,000 photomultipliers installed and taking data. Once finished, the two telescopes will have installed more than ten thousand acquisition nodes, completing one of the more complex networks in the world in terms of operation and synchronisation. This work presents the current status of the acquisition electronics, including the upgrade of the principal components such as the central logic board, the signal collecting board, switching core board and Glenair back plane. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Optical telescopes

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Auditory models comparison for horizontal localization of concurrent speakers in adverse acoustic scenarios 23

Auditory models comparison for horizontal localization of co...

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23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019

作者： Barumerli, Roberto Almenari, Andrea Geronazzo, Michele Di Nunzio, Giorgio Maria Avanzini, Federico Dept. of Information Engineering University of Padova Italy Dept. of Architecture Design and Media Technology Aalborg University Denmark Dept. of Computer Science University of Milano Italy

ISBN: (纸本)9783939296157

This paper aims at comparing and reproducing the predictions of two public available computational auditory models for speaker localization in different simulated environments. The direction-of-arrival (DOA) of sound sources in the horizontal plane can be extracted by using binaural spatial cues from room and user acoustics. Since our predictions consider the specificity of both models at the level of peripheral processing, the proposed solution for DOA extraction also provides a common multi-conditional training for the Gaussian Mixture Model (GMM) approach. A set of acoustic simulations of adverse conditions (i.e. multi speakers or high reverberant scenarios) supports the evaluation phase on robustness of the synthetic auditory process. Our analysis reproduces two case studies from the scientific literature in order to investigate the reliability of localization predictions in the frontal horizontal plane. Finally, a newly defined acoustic scenario allows to identify differences between auditory models outcome in the entire horizontal plane. The results show a good agreement with previous literature and our machine learning approach emphasizes peculiarities of each approach for auditory peripheral processing. © 2019 Proceedings of the International Congress on Acoustics. All rights reserved.

关键词： Auditory model Binaural processing Room acoustic simulation

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On the evaluation of head-related transfer functions with probabilistic auditory models of human sound localization 23

On the evaluation of head-related transfer functions with pr...

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23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019

作者： Geronazzo, Michele Barumerli, Roberto Avanzini, Federico Dept. of Architecture Design and Media Technology Aalborg University Denmark Dept. of Information Engineering University of Padova Italy Dept. of Computer Science University of Milano Italy

ISBN: (纸本)9783939296157

Understanding spatial hearing leads to implement efficient and effective auralization rendering algorithms with headphones. Two important aspects contribute to sound localization: (i) acoustic filtering of listener body, and (ii) non-acoustic factors introduced by auditory periphery. Accordingly, head-related transfer functions (HRTFs) describe users acoustics in terms of their spatial filtering. Binaural synthesis through generic HRTFs (commonly a dummy head) is the most simple solution for an auralization framework. In this scenario, a high variability in localization tasks between subjects yields to an unreliable rendering. Listener's acoustic and perceptual characterization require HRTF modeling and auditory models predictions in order to provide an effective auralization on individual basis. Systemic comparisons of HRTF approximations and different user profiles can help to predict listener's performances. We consider a case study on both vertical and horizontal localization with different HRTFs and two probabilistic auditory models. In our analysis, spatial audio rendering with non-individual HRTFs has a special attention for its commercial relevance compared to unpractical and questionable use of individual HRTFs. © 2019 Proceedings of the International Congress on Acoustics. All rights reserved.

关键词： Auditory model Head-related transfer function Localization Non-individual HRTF

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Reliability assurance in early-life-failure test through improved nearest neighbor regression

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IEICE Electronics Express 2020年第2期17卷

作者： Song, Tai Liang, Huaguo Huang, Zhengfeng Hou, Jie Dept. of Electronic Science and Applied Physics Hefei University of Technology Hefei230009 China Institute of Computer Architecture and Computer Stuttgart University StuttgartD-70569 Germany

During manufacturing test, researchers usually overlook the importance of process variation defects and marginal defects, which can seriously affect test results of Early-Life-Failure (ELF). Theoretically, machine learning classification methods can be used to identify these two defects. In fact, when features overfitting or data distribution overlap seriously, classifiers perform poorly, it will not achieve the desired results. This paper first-ever proposes a kind of data preprocessing method combines improved K-Nearest Neighbors (KNN) regression classifier, so that the classification results will be enhanced in terms of classification performance. Experiment results demonstrate that the predictive accuracy is 45% higher than the traditional logistic regression method. This proposed method will drive critical new requirements for fault modeling, test generation and test application, and implementing them effectively will require a new level of collaboration between process and product developers. © 2020 Institute of Electronics Information Communication Engineers. All rights reserved.

关键词： Defects

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JKinect: A new Java Software for Designing and Assessing Gross Motor Activities in children with autism based on JFML

JKinect: A new Java Software for Designing and Assessing Gro...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Juan Carlos Gámez-Granados Francisco Javier Rodriguez-Lozano Giovanni Acampora Chang-Shing Lee Jose Manuel Soto-Hidalgo Dept. Electr. & Computer Engineering University of Córdoba Spain Dept. Physics Ettore Pancini University of Naples Federico II Italy Dept. Computer Science & Information Engineering National University of Tainan Taiwan Dept. Computer Architecture and Computer Technology University of Granada Spain

ISBN: (数字)9781728169323

ISBN: (纸本)9781728169330

Motor therapies can be considered as one of the social challenges that have a great impact in children with autism. Traditionally, exercises and activities as therapies have been used to mitigate and to rehabilitate problems related to gross motor skills. Nevertheless, from the perspective of children, these therapies are often repetitive, boring and they need an extra motivation aspect due to the target: children with autism. From the point of interaction with the target population, the use of technology is a key issue in these therapies. In this scenario, a new software named JKinect which is based on RGB-D sensors and computer based games. JKinect helps children with gross motor problems and presents great flexibility in the therapy design and game sharing among specialists. Additionally, a new module for linking JKinect with both fuzzy systems based on the IEEE std 1855-2016 and the JFML library to support experts' decision making in therapies on the basis of fuzzy rules is also included.

关键词： Medical treatment Libraries Games Autism XML Fuzzy logic IEEE Standards

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A Machine Vision-Based Person Detection Under Low-Illuminance Conditions Using High Dynamic Range Imagery for Visual Surveillance System

A Machine Vision-Based Person Detection Under Low-Illuminanc...

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Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), International Conference on

作者： Julie Ann B. Susa Sammy V. Militante Aimee G. Acoba Ryan Soriente Evangelista Luisito Lolong Lacatan Charlemagne G. Laviňa Bartolome T. Tanguilig Dept. of Computer Engineering Southern Luzon State University Lucban Quezon Philippines College of Engineering and Architecture University of Antique Antique Philippines Electronics Eng'g Technology Department Technological University of the Philippines Manila Philippines School of Graduate Studies Sulu State College Sulu Philippines College of Computing and Engineering Pamantasan ng Cabuyao Laguna Philippines

The most difficult component of any computer vision application objects recognition and tracking. Video surveillance is a major study subject in computer vision in a dynamic environment, especially for security purposes. Video surveillance technology is critical in preventing crime, terrorism, and other threats. Several existing technologies can accurately monitor a person's mobility in interior environments. As well as regulated outdoor settings, object recognition and tracking at night, on the other hand, remain significant challenges for visual surveillance. The objects are usually farther away, inconspicuous, and have low brightness against the background. In this paper, detecting objects specifically people under low lighting conditions with the help of deep learning algorithms was used. For applications like in-car cameras and surveillance systems that operate in low light, these algorithms might improve picture identification performance.

关键词： Deep learning Training Visualization computer vision Heuristic algorithms Computational modeling Lighting

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On robot compliance. A cerebellar control approach

arXiv

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arXiv 2020年

作者： Abadía, Ignacio Naveros, Francisco Garrido, Jesús A. Ros, Eduardo Luque, Niceto R. Research Centre for Information and Communication Technologies Dept. Computer Architecture and Technology U. Granada Granada18014 Spain

The work presented here is a novel biological approach for the compliant control of a robotic arm in real time (RT). We integrate a spiking cerebellar network at the core of a feedback control loop performing torque driven control. The spiking cerebellar controller provides torque commands allowing for accurate and coordinated arm movements. To compute these output motor commands, the spiking cerebellar controller receives the robot’s sensorial signals, the robot’s goal behaviour, and an instructive signal. These input signals are translated into a set of evolving spiking patterns, representing univocally a specific system state at every point of time. Spike Timing-Dependent Plasticity (STDP) is then supported, allowing for building adaptive control. The spiking cerebellar controller continuously adapts the torque commands provided to the robot from experience as STDP is deployed. Adaptive torque commands, in turn, help the spiking cerebellar controller to cope with built-in elastic elements within the robot’s actuators mimicking human muscles (inherently elastic). We propose a natural integration of a bio-inspired control scheme, based on the cerebellum, with a compliant robot. We prove that our compliant approach outperforms the accuracy of the default factory-installed position control in a set of tasks used for addressing cerebellar motor behaviour: controlling six degrees of freedom (DoF) in (i) smooth movements, (ii) fast ballistic movements and (iii) unstructured scenario compliant movements. Copyright © 2020, The Authors. All rights reserved.

关键词： Brain

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Dynamic Resilient Graph Games for State-Dependent Jamming Attacks Analysis on Multi-Agent Systems

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IFAC-PapersOnLine 2020年第2期53卷 3421-3426页

作者： Yurid Nugraha Ahmet Cetinkaya Tomohisa Hayakawa Hideaki Ishii Quanyan Zhu Dept. of Systems and Control Engineering Tokyo Institute of Technology Tokyo 152-8552 Japan Information Systems Architecture Science Research Division National Institute of Informatics Tokyo 101-8430 Japan Dept. of Computer Science Tokyo Insitute of Technology Yokohama 226-8502 Japan Dept. of Electrical and Computer Engineering New York University Brooklyn NY 11201 USA

A cybersecurity problem for a multi-agent consensus problem is investigated through a dynamic game formulation. Specifically, we consider a game repeatedly played between a jamming attacker and a defender. The attacker attempts to jam the links between a number of agents to delay their consensus. On the other hand, the defender tries to maintain the connection between agents by attempting to recover some of the jammed links with the goal of achieving faster consensus. In each game, the players decide which links to attack/recover and for how long to continue doing so based on a Lyapunov-like function representing the largest difference between the states of the agents. We analyze the subgame perfect equilibrium of the game and obtain an upper bound of the consensus time that is influenced by the strategies of the players. The results are illustrated with a numerical example.

关键词： Multi-agent systems Consensus problem Game theory Cybersecurity

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A Preliminary Approach to Allocate Categories of Buildings into Lands based on Generative Design

A Preliminary Approach to Allocate Categories of Buildings i...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Ignacio Pérez-Martínez María Martínez-Rojas J. M. Soto-Hidalgo Dept. of Electr. and Computer Engineering University of Córdoba Spain Dept. of Economics University of Málaga Spain Dept. Comput. Architecture & Comput. Technology University of Granada Spain

ISBN: (数字)9781728169323

ISBN: (纸本)9781728169330

In comparison to some other economic sectors, the productivity of workers in the construction has not increased much over the last 20 years. There are many approaches to tackle this problem, and one of them is to rethink the design process and introduce automation. In this paper, we propose a workflow that allocates houses on a plot of land. This workflow starts with GIS data and urban planning requirements and ends with a BIM model on that property. A genetic algorithm tackles the design process of allocation of houses by iterating and optimizing a parametric model. In the end, a designer chooses the final solution between the generated range. The degree of automation achieved by the algorithm will be tested by comparing the results of the algorithm with human-made designs.

关键词： Buildings Optimization Manuals Productivity Automation Urban planning Resource management

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Improving evolution of service configurations for moving target defense

Improving evolution of service configurations for moving tar...

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Congress on Evolutionary Computation

作者： Ernesto Serrano-Collado Mario García-Valdez Juan J. Merelo-Guervós University of Granada Granada Spain Instituto Tecnológico de Tijuana Dept. of Computer Architecture and Technology University of Granada Granada Spain

ISBN: (数字)9781728169293

ISBN: (纸本)9781728169309

The term moving target defense or MTD describes a series of techniques that change the configuration of an Internet-facing system; in general, the technique consists of changing the visible configuration to avoid offering a fixed target to service profiling techniques. Additionally, configurations need to be as secure as possible and, since change needs to be frequent, to generate also as many as possible. We previously introduced a proof of concept where we used a simplified evolutionary algorithm for generating these configurations. In this paper we improve this algorithm, trying to adapt it to the specific characteristics of the fitness landscape, and also looking at finding as many solutions as possible.

关键词： Servers Security Evolutionary computation Software Browsers Cloud computing Tools

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