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arXiv 2021年

作者： Aiello, S. Albert, A. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androulakis, G. Anghinolfi, M. Anguita, M. Anton, G. Ardid, M. Ardid, S. Aublin, J. Bagatelas, C. Baret, B. Basegmez du Pree, S. Bendahman, M. Benfenati, F. Berbee, E. van den Berg, A.M. Bertin, V. Biagi, S. Bissinger, M. Boettcher, M. Bou Cabo, M. Boumaaza, J. Bouta, M. Bouwhuis, M. Bozza, C. Brânzaş, H. Bruijn, R. Brunner, J. Buis, E. Buompane, R. Busto, J. Caiffi, B. Calvo, D. Capone, A. Carretero, V. Castaldi, P. Celli, S. Chabab, M. Chau, N. Chen, A. Cherubini, S. Chiarella, V. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.B. Coleiro, A. Molla, Marta Colomer Coniglione, R. Coyle, P. Creusot, A. Cuttone, G. Dallier, R. de Martino, B. de Palma, M. Di Marino, M. Di Palma, I. Díaz, A.F. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drouhin, D. Eberl, T. Eddyamoui, A. van Eeden, T. van Eijk, D. El Bojaddaini, I. Elsaesser, D. Enzenhöfer, A. Espinosa, V. Fermani, P. Ferrara, G. Filipović, M.D. Filippini, F. Fusco, L.A. Gabella, O. Gal, T. Garcia Soto, A. Garufi, F. Gatelet, Y. Geißelbrecht, N. Gialanella, L. Giorgio, E. Gozzini, S.R. Gracia, R. Graf, K. Grasso, D. Grella, G. Guderian, D. Guidi, C. Haefner, J. Hamdaoui, H. van Haren, H. Heijboer, A. Hekalo, A. Hennig, L. Hernández-Rey, J.J. Hofestädt, J. Huang, F. Idrissi Ibnsalih, W. Illuminati, G. James, C.W. de Jong, M. de Jong, P. Jung, B.J. Kadler, M. Kalaczyński, P. Kalekin, O. Katz, U.F. Khan Chowdhury, N.R. Kistauri, G. van der Knaap, F. Kooijman, P. Kouchner, A. Kreter, M. Kulikovskiy, V. Lahmann, R. Lamoureux, M. Larosa, G. Le Breton, R. Le Stum, S. Leonardi, O. Leone, F. Leonora, E. Lessing, N. Levi, G. Lincetto, M. Lindsey Clark, M. Lipreau, T. Longhitano, F. Lopez-Coto, D. Maderer, L. Mańczak, J. Mannheim, K. Margiotta, A. Marinelli, A. Markou, C. Martin, L. Martínez-Mora, J.A. Martini, A. Marzaioli, F. Mastroianni, S. Mazzou, S. Melis, K.W. INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France IFIC - Instituto de Física Corpuscular CSIC Universitat de València c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain Aix Marseille Univ CNRS IN2P3 CPPM Marseille France INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d'Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece INFN Sezione di Genova Via Dodecaneso 33 Genova16146 Italy University of Granada Dept. of Computer Architecture and Technology CITIC Granada18071 Spain Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Centre for Astroparticle Physics Erwin-Rommel-Straße 1 Erlangen91058 Germany Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/ Paranimf 1 Gandia46730 Spain Université de Paris CNRS Astroparticule et Cosmologie ParisF-75013 France Nikhef National Institute for Subatomic Physics PO Box 41882 Amsterdam1009 DB Netherlands University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco INFN Sezione di Bologna v.le C. Berti-Pichat 6/2 Bologna40127 Italy Università di Bologna Dipartimento di Fisica e Astronomia v.le C. Berti-Pichat 6/2 Bologna40127 Italy KVI-CART University of Groningen Groningen Netherlands INFN Laboratori Nazionali del Sud Via S. Sofia 62 Catania95123 Italy North-West University Centre for Space Research Privat

The KM3NeT research infrastructure is under construction in the Mediterranean Sea. It consists of two water Cherenkov neutrino detectors, ARCA and ORCA, aimed at neutrino astrophysics and oscillation research, respectively. Instrumenting a large volume of sea water with ∼ 6200 optical modules comprising a total of ∼ 200,000 photomultiplier tubes, KM3NeT will achieve sensitivity to ∼ 10 MeV neutrinos from Galactic and near-Galactic core-collapse supernovae through the observation of coincident hits in photomultipliers above the background. In this paper, the sensitivity of KM3NeT to a supernova explosion is estimated from detailed analyses of background data from the first KM3NeT detection units and simulations of the neutrino signal. The KM3NeT observational horizon (for a 5 σ discovery) covers essentially the Milky-Way and for the most optimistic model, extends to the Small Magellanic Cloud (∼ 60 kpc). Detailed studies of the time profile of the neutrino signal allow assessment of the KM3NeT capability to determine the arrival time of the neutrino burst with a few milliseconds precision for sources up to 5-8 kpc away, and detecting the peculiar signature of the standing accretion shock instability if the core-collapse supernova explosion happens closer than 3-5 kpc, depending on the progenitor mass. KM3NeT's capability to measure the neutrino flux spectral parameters is also presented. Copyright © 2021, The Authors. All rights reserved.

关键词： Photomultipliers

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Comparison of the measured atmospheric muon rate with Monte Carlo simulations and sensitivity study for detection of prompt atmospheric muons with KM3NeT

arXiv

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arXiv 2021年

作者： Kalaczyński, Piotr Ageron, M. Aiello, S. Albert, A. Alshamsi, M. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androulakis, G. Anghinolfi, M. Anguita, M. Anton, G. Ardid, M. Ardid, S. Assal, W. Aublin, J. Bagatelas, C. Baret, B. Basegmez du Pree, S. Bendahman, M. Benfenati, F. Berbee, E. van den Berg, A.M. Bertin, V. Beurthey, S. van Beveren, V. Biagi, S. Billault, M. Bissinger, M. Boettcher, M. Bou Cabo, M. Boumaaza, J. Bouta, M. Boutonnet, C. Bouvet, G. Bouwhuis, M. Bozza, C. Brânzaş, H. Bruijn, R. Brunner, J. Bruno, R. Buis, E. Buompane, R. Busto, J. Caiffi, B. Caillat, L. Calvo, D. Campion, S. Capone, A. Carduner, H. Carretero, V. Castaldi, P. Celli, S. Cereseto, R. Chabab, M. Champion, C. Chau, N. Chen, A. Cherubini, S. Chiarella, V. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.B. Coleiro, A. Colomer Molla, M. Colonges, S. Coniglione, R. Cosquer, A. Coyle, P. Cresta, M. Creusot, A. Cruz, A. Cuttone, G. D'Amico, A. Dallier, R. de Martino, B. de Palma, M. Di Palma, I. Díaz, A.F. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drouhin, D. Eberl, T. Eddyamoui, A. van Eeden, T. van Eijk, D. El Bojaddaini, I. Eljarrari, H. Elsaesser, D. Enzenhöfer, A. Espinosa, V. Fermani, P. Ferrara, G. Filipović, M.D. Filippini, F. Fransen, J. Fusco, L.A. Gajanana, D. Gal, T. García Méndez, J. Garcia Soto, A. Garçon, E. Garufi, F. Gatius, C. Geißelbrecht, N. Gialanella, L. Giorgio, E. Gozzini, S.R. Gracia, R. Graf, K. Grella, G. Guderian, D. Guidi, C. Guillon, B. Gutiérrez, M. Haefner, J. Hallmann, S. Hamdaoui, H. van Haren, H. Heijboer, A. Hekalo, A. Hennig, L. Henry, S. Hernández-Rey, J.J. Hofestädt, J. Huang, F. Idrissi Ibnsalih, W. Ilioni, A. Illuminati, G. James, C.W. Janezashvili, D. Jansweijer, P. de Jong, M. de Jong, P. Jung, B.J. Kadler, M. Kalaczyński, P. Kalekin, O. Katz, U.F. Kayzel, F. Keller, P. Khan Chowdhury, N.R. Kistauri, G. van der Knaap, F. Kooijman, P. Kouchner, A. National Centre for Nuclear Research Pasteura 7 Warsaw Poland Aix Marseille Univ CNRS IN2P3 CPPM Marseille France INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France Université de Paris CNRS Astroparticule et Cosmologie ParisF-75013 France IFIC - Instituto de Física Corpuscular CSIC Universitat de València c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli Federico II Dip. Scienze Fisiche E. Pancini Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d'Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece INFN Sezione di Genova Via Dodecaneso 33 Genova16146 Italy University of Granada Dept. of Computer Architecture and Technology CITIC Granada18071 Spain Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Centre for Astroparticle Physics Erwin-Rommel-Straße 1 Erlangen91058 Germany Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/ Paranimf 1 Gandia46730 Spain Nikhef National Institute for Subatomic Physics PO Box 41882 Amsterdam1009 DB Netherlands University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco INFN Sezione di Bologna v.le C. Berti-Pichat 6/2 Bologna40127 Italy Dipartimento di Fisica INFN Sezione di Padova Università di Padova PadovaI-35131 Italy Università di Bologna Dipartimento di Fisica e Astronomia v.le C. Berti-Pichat 6/2 Bologna40127 Italy KVI-CART University of Groningen

The KM3NeT Collaboration has successfully deployed the first detection units of the next generation undersea neutrino telescopes in the Mediterranean Sea at the two sites in Italy and in France. The data sample collected between December 2016 and January 2020 has been used to measure the atmospheric muon rate at two different depths under the sea level: 3.5 km with KM3NeTARCA and 2.5 km with KM3NeT-ORCA. Atmospheric muons represent an abundant signal in a neutrino telescope and can be used to test the reliability of the Monte Carlo simulation chain and to study the physics of extensive air showers caused by highly-energetic primary nuclei impinging the Earth's atmosphere. At energies above PeV the contribution from prompt muons, created right after the first interaction in the shower, is expected to become dominant, however its existence has not yet been experimentally confirmed. In this talk, data collected with the first detection units of KM3NeT are compared to Monte Carlo simulations based on MUPAGE and CORSIKA codes. The main features of the simulation and reconstruction chains are presented. Additionally, the first results of the simulated signal from the prompt muon component for KM3NeT-ARCA and KM3NeT-ORCA obtained with CORSIKA are discussed. © 2021, CC BY-NC-ND.

关键词： Monte Carlo methods

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Hadoop+: Modeling and evaluating the heterogeneity for MapReduce applications in heterogeneous clusters 15

Hadoop+: Modeling and evaluating the heterogeneity for MapRe...

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29th ACM International Conference on Supercomputing, ICS 2015

作者： He, Wenting Cui, Huimin Lu, Binbin Zhao, Jiacheng Li, Shengmei Ruan, Gong Xue, Jingling Feng, Xiaobing Yang, Wensen Yan, Youliang SKL Computer Architecture Institute of Computing Technology CAS China University of Chinese Academy of Sciences China School of Computer Science and Engineering University of New South Wales Australia Shannon Laboratory Huawei Technologies Co. Ltd. Shenzhen China

ISBN: (纸本)9781450335591

Despite the widespread adoption of heterogeneous clusters in modern data centers, modeling heterogeneity is still a big challenge, especially for large-scale MapReduce applications. In a CPU/GPU hybrid heterogeneous cluster, allocating more computing resources to a MapReduce application does not always mean better performance, since simultaneously running CPU and GPU tasks will contend for shared resources. This paper proposes a heterogeneity model to predict the shared resource contention between the simultaneously running tasks of a MapReduce application when heterogeneous computing resources (e.g. CPUs and GPUs) are allocated. To support the approach, we present a heterogeneous MapReduce framework, Hadoop+, which enables CPUs and GPUs to process big data coordinately, and leverages the heterogeneity model to assist users in selecting the computing resources for different purposes. Our experimental results show three benefits. First, Hadoop+ exploits GPU capability, and achieves 1.4x to 16.1x speedups over Hadoop for 5 real applications when running individually. Second, the heterogeneity model can be used to allocate GPUs among multiple simultaneously running MapReduce applications, bringing up to 36.9% (17.6% in average) speedup when multiple applications are running simultaneously. Third, the model is verified to be able to select the optimal or most cost-effective resource consumption. © Copyright 2015 ACM.

关键词： MapReduce

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1st International Workshop on Software Protection (SPRO 2015) 15

1st International Workshop on Software Protection (SPRO 2015...

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International Conference on Software engineering (ICSE)

作者： Paolo Falcarin Brecht Wyseur School of Architecture Computing and Engineering University of East London London United Kingdom Nagravision S.A Lausanne Switzerland

There are many reasons to protect software: your banking app needs to be protected to prevent fraud; software operating on critical infrastructures needs to be protected against vulnerability discovery; software vendors and service companies need it to protect their business; etc. In the past decade, many techniques to protect software have been presented and broken. Beyond making individual techniques better, the challenge includes to be able to deploy them in practice and be able to evaluate them. This is the objective of SPRO, the first International Workshop on Software Protection: to bring together researchers and industrial practitioners both from software protection and the wider software engineering community to share experience and provide directions for future research, in order to stimulate the use of software engineering techniques in novel aspects of software protection. This first edition of the workshop is held at ICSE 2015 in Florence (Italy) with the aim of creating a community working in this new growing area of security, and to highlight its synergies with different research fields of software engineering, like: formal models, program analysis, reverse engineering, code transformations, empirical evaluation, and software metrics. This paper presents the research themes and challenges of the workshop, describes the workshop organization, and summarizes the research papers.

关键词： Software protection Conferences Software Software engineering Security Analytical models Reverse engineering

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Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis

Semantic Process Mining Towards Discovery and Enhancement of...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Kingsley Okoye Abdel Rahman H. Tawil Usman Naeem Elyes Lamine School of Architecture Computing and Engineering University of East London London UK Université de Toulouse Mines-Albi France

Process mining algorithms use event logs to learn and reason about processes by technically coupling event history data and process models. During the execution of a learning process, several events occur which are of interest and/or necessary for completing and achieving a learning goal. The work in this paper describes a Semantic Process Mining approach directed towards automated learning. The proposed approach involves the extraction of process history data from learning execution environments, which is then followed by submitting the resulting eXtensible Event Streams (XES) and Mining eXtensible Markup Language (MXML) format to the process analytics environment for mining and further analysis. The XES and MXML data logs are enriched by using Semantic Annotations that references concepts in an Ontology specifically designed for representing learning processes. This involves the identification and modelling of data about different users. The approach focuses on augmenting information values of the resulting model based on individual learner profiles. A series of validation experiments were conducted in order to prove how Semantic Process Mining can be utilized to address the problem of analyzing concepts and relationships amongst learning objects, which also aid in discovering new and enhancement of existing learning processes. To this end, we demonstrate how data from learning processes can be extracted, semantically prepared, and transformed into mining executable formats for improved analysis.

关键词： Data mining Semantics Cognition Ontologies Data models Context History

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Q-enhancement with on-chip inductor optimization for reconfigurable Δ-Σ radio-frequency ADC

Q-enhancement with on-chip inductor optimization for reconfi...

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Annual IEEE Northeast Workshop on Circuits and Systems (NEWCAS)

作者： Jaswinder Lota Andreas Demosthenous Department of Electronic & Electrical Engineering University College London London UK School of Architecture Computing & Engineering University of East London London UK

The paper details on-chip inductor optimization for a reconfigurable continuous-time delta-sigma (Δ-Σ) modulator based radio-frequency analog-to-digital converter. Inductor optimisation enables the Δ-Σ modulator with Q enhanced LC tank circuits employing a single high Q-factor on-chip inductor and lesser quantizer levels thereby reducing the circuit complexity for excess loop delay, power dissipation and dynamic element matching. System level simulations indicate at a Q-factor of 75 Δ-Σ modulator with a 3-level quantizer achieves dynamic ranges of 106, 82 dB and 84 dB for RFID, TETRA, and Galileo over bandwidths of 200 kHz, 10 MHz and 40 MHz respectively.

关键词： Inductors Radiofrequency identification Radio frequency Q-factor System-on-chip Frequency modulation

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Strength analysis and experiment of high speed railway gearbox bracket

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Open Mechanical engineering Journal 2015年第1期9卷 266-270页

作者： Yang, Jianwei Yang, Minghan Li, Xi Wang, Xing School of Machine-Electricity and Automobile Engineering Beijing University of Civil Engineering Architecture Beijing China Beijing Engineering Research Center of Monitoring for Construction Safety Beijing University of Civil Engineering Architecture Beijing China Subway Operation Technology Centre Mass Transit Railway Operation Corporation LTD Beijing China School of Computing Taiyuan University of Science and Technology TaiyuanShanxi China

Light-weighting of high speed railway equipments has become a major trend, which leads the upgrades of equipments. A new C-shaped bracket has been produced to connect the driving gearbox with the bogie. This paper built a three-dimensions model of a C-shaped bracket, got the maximum and distribution of the stress and deformation under two different working conditions form finite element analysis (FEA). Then it presents a method to perform a corresponding experiment. It is observed that the computed values form FEA are in very good agreement with the experimental values, which both verified the structural strength of this C-shaped bracket. © Yang et al.;Licensee Bentham Open.

关键词： Finite element method

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Energy optimization in wireless sensor networks based on genetic algorithms

Energy optimization in wireless sensor networks based on gen...

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SAI Intelligent Systems Conference (IntelliSys)

作者： Angela Rodriguez Paolo Falcarin Armando Ordóñez Intelligent Management Systems University Foundation of Popayan-FUP Popayán Colombia School of Architecture Computing and Engineering University of East London London UK

Wireless sensor is a consolidated technology with high potential in the Internet of Things. However, some open issues must be tackled in order to leverage the whole potential of this technology. One of the challenges is the energy consumption. Many algorithms have been proposed for saving energy. However these approaches use a mono-objective evaluation and the contradiction between optimization parameters values is not considered. Besides these approaches don't offer a unique solution. This paper describes MOR4WSN an algorithm based in NSGA-II for selecting the best sensor distribution as well as a mechanism for optimization of results. Experimental evaluation shows promising results in terms of lifetime maximization.

关键词： Wireless sensor networks Routing Optimization Genetic algorithms Biological cells Network topology Topology

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Survey and Field Measurement on Residential Lifestyle and Energy Use in Rural China

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engineering（科研） 2015年第10期7卷 610-624页

作者： Didit Novianto Akihiro Kano Liyang Fan Jing Wang Meiyan Wang Zhu Wang Jian Ge Yong He Weijun Gao Environmental Engineering The University of Kitakyushu Kitakyushu Japan Kobe Institute of Computing Kobe Japan Architectural Department Zhejiang University Hangzhou China School of Landscape and Architecture Zhejiang A&F University Hangzhou China

In the middle of May to September 2014, the research team conducted survey and field measurement on rural residential energy consumption and environment condition in China’s local city in order to grasp the lifestyle pattern and its correlation on energy use in the demand side. In this paper, the analyses of people lifestyle and summer energy consumption will be presented through statistical analyses based on data which collected from questionnaire survey. The results of questionnaire were presented and discussed. Based on the questionnaire results, we classified the housing types into several groups then compared the energy use of each type. The major influential factors on housing energy consumption were analyzed and the results were discussed. The results of field measurement during summer which conducted to several types of houses were also discussed. Finally, the results will propose some strategies on lowering housing energy use in the village. Further, the results will give conceptual layout to find the correlation between environmental quality, thermal condition, and energy consumption.

关键词： Village Housing Lifestyle Energy Use China

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Playing Immersive Games on the REVERIE platform

Playing Immersive Games on the REVERIE platform

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IEEE International Conference on Ubiquitous computing and Communications

作者： Ioannis Doumanis David S. Monaghan Julie Wall CTVC Ltd London UK Insight Centre for Data Analytics Dublin City University University of East London (UEL) The School of Architecture Computing and Engineering London UK

ISBN: (纸本)9781509001552

REVERIE (REal and Virtual Engagement in Realistic Immersive Environments) [1] is a multimedia and multimodal framework, which supports the creation of immersive games. The framework supports the creation of games integrating technologies such as 3D spatial audio, detection of the player's body movement using Kinect and WIMO sensors, NPCs (Non-Playable Characters) with advanced AI capabilities featuring various levels of representation and gameplay into an immersive 3D environment. A demonstration game was developed for REVERIE, which is an adapted version of the popular Simon Says game. In the REVERIE version, a player tries to follow physical instructions issued by two autonomous agents with different degrees of realism. If a player follows a physical instruction correctly, they are awarded one point. If not, they are deducted one point. This paper presents a technical overview of the game technologies integrated in the Simon Says demo and its evaluation by players with variable computer literacy skills. Finally the potential of REVERIE as an immersive framework for gaming is discussed, followed by recommendations for improvements in future versions of the framework.

关键词： REVERIE framework Immersive games Non-Playable Characters (NPCs) Empirical evaluation of games

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