检索结果-内蒙古大学图书馆

Photonic gas sensors exploiting directly the optical properties of hybrid carbon nanotube localized surface plasmon structures

引用

Light(science & Applications) 2016年第1期5卷 624-631页

作者： Thomas Allsop Raz Arif Ron Neal Kyriacos Kalli Vojtěch Kundrát Aleksey Rozhin Phil Culverhouse David J Webb Aston Institute of Photonic Technologies School of Engineering and Applied ScienceAston UniversityAston TriangleBirmingham B47ETUK Nanoscience Research Group School of Engineering and Applied ScienceAston UniversityAston TriangleBirmingham B47ETUK Physics Department Faculty of ScienceUniversity of SulaimaniSulaimaniIraq-Kurdistan Region Faculty of Science and Technology School of MathsComputing and RoboticsUniversity of PlymouthPlymouth PL48AAUK Department of Electrical Engineering Computer Engineering and InformaticsCyprus University of TechnologyLimassol 3036Cyprus

Weinvestigate the modification of the optical properties of carbon nanotubes(CNTs)resulting from a chemical reaction triggered by the presence of a specific compound(gaseous carbon dioxide(CO_(2)))and show this mechanism has important consequences for chemical *** have attracted significant research interest because they can be functionalized for a particular chemical,yielding a specific physical response which suggests many potential applications in the fields of nanotechnology and *** far,however,utilizing their optical properties for this purpose has proven to be *** demonstrate the use of localized surface plasmons generated on a nanostructured thin film,resembling a large array of nano-wires,to detect changes in the optical properties of the *** selectivity is demonstrated using CO_(2) in gaseous form at room *** demonstrated methodology results additionally in a new,electrically passive,optical sensing configuration that opens up the possibilities of using CNTs as sensors in hazardous/explosive environments.

关键词： carbon nanotubes gas sensors localized surface plasmons optical sensing

来源：评论

学校读者我要写书评

暂无评论

Teleportation with Multiple Accelerated Partners

引用

Communications in Theoretical Physics 2015年第9期64卷 287-294页

作者： A.Sagheer H.Hamdoun N.Metwally Department of Computer Science Faculty of Computer Science and Information Technology King Faisal University Center for Artificial Intelligence and RObotics (CAIRO) Faculty of Science Aswan University Department of Mathematics College of Science University of Bahrain

As the current revolution in communication is underway, quantum teleportation can increase the level of security in quantum communication applications. In this paper, we present a quantum teleportation procedure that capable to teleport either accelerated or non-accelerated information through different quantum channels. These quantum channels are based on accelerated multi-qubit states, where each qubit of each of these channels represents a ***, these states are the W state, Greenberger–Horne–Zeilinger(GHZ) state, and the GHZ-like state. Here, we show that the fidelity of teleporting accelerated information is higher than the fidelity of teleporting non-accelerated information, both through a quantum channel that is based on accelerated state. Also, the comparison among the performance of these three channels shows that the degree of fidelity depends on type of the used channel, type of the measurement, and value of the acceleration. The result of comparison concludes that teleporting information through channel that is based on the GHZ state is more robust than teleporting information through channels that are based on the other two states. For future work, the proposed procedure can be generalized later to achieve communication through a wider quantum network.

关键词： non-inertial frames entanglement acceleration

来源：评论

学校读者我要写书评

暂无评论

A report on the first international workshop on research methods in animal-computer interaction

A report on the first international workshop on research met...

引用

2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017

作者： Zamansky, Anna Roshier, Amanda Mancini, Clara Collins, Emily C. Hall, Carol Grillaert, Katie Morrison, Ann North, Steve Wirman, Hanna Information Systems Department University of Haifa Israel School of Veterinary Medicine and Science University of Nottingham United Kingdom Animal-Computer Interaction Lab Open University Milton Keynes United Kingdom Sheffield Robotics University of Sheffield United Kingdom School of Animal Rural and Environmental Sciences Nottingham Trent University United Kingdom Messerli Research Institute University of Veterinary Medicine Medical University of Vienna University of Vienna Austria Department of Architecture Design and Media Technology Aalborg University Denmark Mixed Reality Laboratory University of Nottingham United Kingdom School of Design Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9781450346566

Animal-computer Interaction (ACI) is a new and quickly developing discipline, which is closely related to HCI and is making reference to some of its theoretical frameworks and research methodologies. The first edition of the Workshop on Research Methods in ACI (RM4ACI) was co-located with the Third International Conference on Animal-computer Interaction, which took place in Milton-Keynes, UK in November 2016. This paper presents an overview of the workshop, including insights from discussions on some of the challenges faced by the ACI community as it works to develop ACI as a discipline, and on important opportunities for cross-fertilization between HCI and ACI that the HCI community could consider. Copyright © 2017 by the Association for Computing Machinery, Inc. (ACM).

关键词： Animals

来源：评论

学校读者我要写书评

暂无评论

Social activity recognition based on probabilistic merging of skeleton features with proximity priors from RGB-D data

Social activity recognition based on probabilistic merging o...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Claudio Coppola Diego R. Faria Urbano Nunes Nicola Bellotto L-CAS School of Computer Science University of Lincoln (UK) Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Portugal

ISBN: (纸本)9781509037636

Social activity based on body motion is a key feature for non-verbal and physical behavior defined as function for communicative signal and social interaction between individuals. Social activity recognition is important to study human-human communication and also human-robot interaction. Based on that, this research has threefold goals: (1) recognition of social behavior (e.g. human-human interaction) using a probabilistic approach that merges spatio-temporal features from individual bodies and social features from the relationship between two individuals;(2) learn priors based on physical proximity between individuals during an interaction using proxemics theory to feed a probabilistic ensemble of activity classifiers;and (3) provide a public dataset with RGB-D data of social daily activities including risk situations useful to test approaches for assisted living, since this type of dataset is still missing. Results show that using the proposed approach designed to merge features with different semantics and proximity priors improves the classification performance in terms of precision, recall and accuracy when compared with other approaches that employ alternative strategies.

关键词： Feature extraction Skeleton Mixture models Robots Covariance matrices Probabilistic logic

来源：评论

学校读者我要写书评

暂无评论

On the Potential Galactic Origin of the Ultra-High-Energy Event KM3-230213A

arXiv

引用

arXiv 2025年

作者： Adriani, O. Aiello, S. Albert, A. Alhebsi, A.R. Alshamsi, M. Garre, S. Alves Ambrosone, A. Ameli, F. Andre, M. Aphecetche, L. Ardid, M. Ardid, S. Aublin, J. Badaracco, F. Bailly-Salins, L. Bardačová, Z. Baret, B. Bariego-Quintana, A. Becherini, Y. Bendahman, M. Gualandi, F. Benfenati Benhassi, M. Bennani, M. Benoit, D.M. Berbee, E. Berti, E. Bertin, V. Betti, P. Biagi, S. Boettcher, M. Bonanno, D. Bottai, S. Bouasla, A.B. Boumaaza, J. Bouta, M. Bouwhuis, M. Bozza, C. Bozza, R.M. Brânzaş, H. Bretaudeau, F. Breuhaus, M. Bruijn, R. Brunner, J. Bruno, R. Buis, E. Buompane, R. Busto, J. Caiffi, B. Calvo, D. Capone, A. Carenini, F. Carretero, V. Cartraud, T. Castaldi, P. Cecchini, V. Celli, S. Cerisy, L. Chabab, M. Chen, A. Cherubini, S. Chiarusi, T. Circella, M. Clark, R. Cocimano, R. Coelho, J.A.B. Coleiro, A. Condorelli, A. Coniglione, R. Coyle, P. Creusot, A. Cuttone, G. Dallier, R. De Benedittis, A. De Wasseige, G. Decoene, V. Deguire, P. Del Rosso, I. Di Mauro, L.S. Di Palma, I. Díaz, A.F. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Drakopoulou, E. Drouhin, D. Ducoin, J.-G. Duverne, P. Dvornický, R. Eberl, T. Eckerová, E. Eddymaoui, A. van Eeden, T. Eff, M. van Eijk, D. Bojaddaini, I.El. Hedri, S.El. Mentawi, S.El. Ellajosyula, V. Enzenhöfer, A. Ferrara, G. Filipović, M.D. Filippini, F. Franciotti, D. Fusco, L.A. Gal, T. Méndez, J. García Soto, A. Garcia Oliver, C. Gatius Geißelbrecht, N. Genton, E. Ghaddari, H. Gialanella, L. Gibson, B.K. Giorgio, E. Goos, I. Goswami, P. Gozzini, S.R. Gracia, R. Guidi, C. Guillon, B. Gutiérrez, M. Haack, C. van Haren, H. Heijboer, A. Hennig, L. Hernández-Rey, J.J. Idrissi, A. Ibnsalih, W. Idrissi Illuminati, G. Janik, O. Joly, D. de Jong, M. de Jong, P. Jung, B.J. Kalaczyński, P. Keegans, J. Kikvadze, V. Kistauri, G. Kopper, C. Kouchner, A. Kovalev, Y.Y. Krupa, L. Kueviakoe, V. Kulikovskiy, V. Kvatadze, R. Labalme, M. Lahmann, R. INFN Sezione di Firenze via Sansone 1 Sesto Fiorentino50019 Italy Università di Firenze Dipartimento di Fisica e Astronomia via Sansone 1 Sesto Fiorentino50019 Italy Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France Université de Haute Alsace rue des Frères Lumière Mulhouse68093Cedex France Khalifa University of Science and Technology Department of Physics PO Box 127788 Abu Dhabi United Arab Emirates Aix Marseille Univ CNRS IN2P3 CPPM Marseille France c/Catedrático José Beltrán 2 Valencia Paterna46980 Spain 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 Napoli 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 Subatech IMT Atlantique IN2P3 CNRS Nantes Université 4 rue Alfred Kastler - La Chantrerie BP Nantes20722 44307 France Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/ Paranimf 1 Gandia46730 Spain Université Paris Cité CNRS Astroparticule et Cosmologie ParisF-75013 France INFN Sezione di Genova Via Dodecaneso 33 Genova16146 Italy Università di Genova Via Dodecaneso 33 Genova16146 Italy LPC CAEN Normandie Univ ENSICAEN UNICAEN CNRS IN2P3 6 boulevard Maréchal Juin Caen14050 France Comenius University in Bratislava Department of Nuclear Physics and Biophysics Mlynska dolina F1 Bratislava842 48 Slovakia Czech Technical University in Prague Institute of Experimental and Applied Physics Husova 240/5 Prague110 00 Czech Republic Università di Bologna Dipartimento di Fisica e Astronomia v.le C. Berti-Pichat 6/2

The KM3NeT observatory detected the most energetic neutrino candidate ever observed, with an energy between 72 PeV and 2.6 EeV at the 90 % confidence level. The observed neutrino is likely of cosmic origin. In this article, it is investigated if the neutrino could have been produced within the Milky Way. Considering the low fluxes of the Galactic diffuse emission at these energies, the lack of a nearby potential Galactic particle accelerator in the direction of the event and the difficulty to accelerate particles to such high energies in Galactic systems, we conclude that if the event is indeed cosmic, it is most likely of extragalactic origin. Copyright © 2025, The Authors. All rights reserved.

关键词： Neutrons

来源：评论

学校读者我要写书评

暂无评论

Scale invariant constrained deep network for head pose estimation

Advances in Modelling and Analysis B

引用

Advances in Modelling and Analysis B 2016年第1期59卷 113-130页

作者： Bao, Jiao Ye, Mao School of Computer Science and Engineering Center for Robotics Key Laboratory for NeuroInformation of Ministry of Education University of Electronic Science and Technology of China China School of Computer Science and Engineering University of Electronic Science and Technology of China Western High-Tech Industrial Zone Chengdu China

Head pose estimation plays a significant role in face recognition, facial expression analysis and so on. However, it still faces great challenges due to the initialization and facial feature points location accuracy. Inspired by the observation that head pose variations change tinily and nonlinearly but smoothly and continuously, we present a new approach based on scale invariant constrained deep network for head pose estimation. The proposed network architecture consists of three levels and each level has three networks. The first level is a global one. It predicts the head pose quickly as a preliminary estimation. The following two levels are local ones. They refine the estimation achieved from the previous layer step by step. At last, a multi-level regression is employed to combine the estimations from each level. The whole process is conducted in a deep structure to learn the three angles together directly. We perform large experiments on nine challenging datasets. The experimental results show that the proposed method perform remarkably better than the compared existing methods.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Identification of emergent leaders in a meeting scenario using multiple kernel learning 2

Identification of emergent leaders in a meeting scenario usi...

引用

2nd Workshop on Advancements in Social Signal Processing for Multimodal Interaction, ASSP4MI 2016

作者： Beyan, Cigdem Capozzi, Francesca Becchio, Cristina Murino, Vittorio Pattern Analysis and Computer Vision Istituto Italiano di Tecnologia Genova Italy Department of Psychology McGill University MontrealQC Canada Department of Psychology University of Turin Italy Robotics Brain and Cognitive Sciences Istituto Italiano di Tecnologia Genova Italy Department of Computer Science University of Verona Verona Italy

ISBN: (纸本)9781450345576

In this paper, an effective framework for detection of emergent leaders in small group is presented. In this scope, the combination of different types of nonverbal visual features;the visual focus of attention, head activity and body activity based features are utilized. Using them together ensued significant results. For the first time, multiple kernel learning (MKL) was applied for the identification of the most and the least emergent leaders. Taking the advantage of MKL's capability to use different kernels which corresponds to different feature subsets having different notions of similarity, significantly improved results compared to the state of the art methods were obtained. Additionally, high correlations between the majority of the features and the social psychology questionnaires which are designed to estimate the leadership or dominance were demonstrated. © 2016 ACM.

关键词： Surveys

来源：评论

学校读者我要写书评

暂无评论

cBDI-based Collaborative Control for a Robotic Wheelchair

引用

Procedia computer science 2016年 84卷 127-131页

作者： Adity Saikia Md. Arif Khan Sumant Pusph Syed Ibtisam Tauhidi Rupam Bhattacharyya Shyamanta M. Hazarika John Q. Gan Biomimetic and Cognitive Robotics Lab Computer Science and Engineering Tezpur University Tezpur 784028 India School of Computer Science and Electronic Engineering University of Essex Colchester CO4 3SQ United Kingdom

In this paper we present a collaborative control architecture for a robotic wheelchair with the aim of providing “assistance as required”. The architecture is based on cBDI - an extension to the Belief-Desire-Intention model to support human-machine collaboration. We present results of an evaluation of the architecture in a simulated environment and conclude that collaborative control could ensure “feeling in control” even under assistance.

关键词： Human-Agent Collaboration Collaborative Control BDI systems Rehabilitation robotics ROS-USARSim.

来源：评论

学校读者我要写书评

暂无评论

Dynamic topologies for particle swarms 7

Dynamic topologies for particle swarms

引用

7th International Joint Conference on Computational Intelligence, IJCCI 2015

作者： Fernandes, Carlos M. Laredo, J.L.J. Merelo, J.J. Cotta, C. Rosa, A.C. LARSyS: Laboratory for Robotics and Systems in Engineering and Science University of Lisbon Lisbon Portugal Department of Architecture and Computer Technology University of Granada Granada Spain Departamento de Lenguages y Ciencias de la Computación University of Malaga Malaga Spain

ISBN: (纸本)9783662535240

The Particle Swarm Optimization (PSO) algorithm is a population-based metaheuristics in which the individuals communicate through decentralized networks. The network can be of many forms but traditionally its structure is predetermined and remains fixed during the search. This paper investigates an alternative approach. The particles are positioned on a 2-dimensional grid of nodes. During the run, they move through the network according to simple rules, while interacting with each other using signs that they leave on the nodes. The links between the particles – and consequently the information flow – are then defined at each time step by the position of the particle on the grid. As a result, each particle’s set of neighbors and connectivity degree varies during the search progress. The particles can move randomly or instead track signs left by other particles on the grid. In this paper, after a formal description of the general model, two different strategies (random and sign-based) are tested and compared to standard topologies on unimodal and multimodal functions, including a rotated and a shifted function with noise from the CEC benchmark. The experiments demonstrate that the dynamics provided by the proposed structure results in a more consistent and stable performance throughout the test set. The working mechanisms of the model are simple and easy to implement. © Springer-Verlag Berlin Heidelberg 2016.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

Fast kNN-based prediction for the trajectory of a thrown body

Fast kNN-based prediction for the trajectory of a thrown bod...

引用

Mediterranean Conference on Control and Automation (MED)

作者： Konstantin Mironov Martin Pongratz Faculty of Computer Science and Robotics Ufa State Aviation Technical University Ufa Russia Intsitute of Computer Technology Technische Universitaet Wien Vienna Austria

Robotic throwing and catching of objects is a promising way of material transportation. For successful catch of the flying object accurate prediction of its trajectory in the gripper workspace is required. While most state-of-the-art solutions use physical models to get a trajectory forecast we apply a predictor based on nearest neighbor regression, which does not require exact physical model of the motion. The challenge of such application consist in high volume of calculations that are needed to compare the current trajectory with examples from the database. This issue is critical as the prediction must be real-time. Two approaches for speeding up the procedure are discussed. One approach is based on fast allocation of the small subset from the entire dataset. The current trajectory is compared only with the trajectories from this subset. Another approach is based on the parallelization of computations using graphical processing units. Both approaches are evaluated and compared based on real trajectories. The parallelized version of the algorithm is implemented on the robotic catching system. It provide successful catch for up to 86 % of thrown objects.

关键词： Trajectory Robots Prediction algorithms Predictive models Transportation Grippers Databases

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：