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IEEE Global Communications Conference

作者： Mate Tomoskozi Patrick Seeling Peter Ekler Frank H. P. Fitzek acticom GmbH Department of Computer Science Central Michigan University Department of Automation and Applied Informatics Budapest University of Technology and Economics

ISBN: (纸本)9781509013296

Modern cellular networks utilising the long-term evolution (LTE) and the coming 5G set of standards face an ever-increasing demand for low-latency mobile data from connected devices. Header compression is employed to minimise the overhead for IP-based cellular network traffic, thereby decreasing the overall bandwidth usage and, subsequently, transmission delays. We employ machine learning approaches for the prediction of Robust Header Compression version 2's (RFC 5225) compression utility for VoIP transmissions, which enables the compression to dynamically adapt to varying channel conditions. We evaluate the prediction models employing R~2 and mean square error scores next to complexity (number of coefficients) based on an RTP specific training data set and a separately captured live VoIP audio call. We find that the proposed weighted Ridge regression model explains about 70% of the training data and 72% of a separate VoIP transmission's utility. This approach outperforms the Ridge and first-order Bayesian regressions by up to 50% and the second and third order regressions utilising polynomial basis functions by up to 20%, making it well-suited for utility estimation.

关键词： Robust header compression Mobile multimedia Cellular networks Bandwidth savings Linear regression Machine learning

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Analysis of an on-line minimum-time velocity optimization algorithm

Analysis of an on-line minimum-time velocity optimization al...

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International Carpathian Control Conference (ICCC)

作者： Gábor Csorvási István Vajk Department of Automation and Applied Informatics Budapest University of Technology and Economics MTA-BME Control Engineering Research Group Hungary

Examination of the control of a high-speed vehicle is essential to achieve autonomous navigation on high speed roads. Velocity profile generation is one of the challenging problems. In this paper we analyze the efficiency of an on-line velocity profiler algorithm. The presented method is based on a receding horizon implementation in which the vehicle executes part of the computed optimal trajectory, while simultaneously optimizing the path up to a new horizon. The search space at each optimization step is considerably reduced, which results in reduced computational cost. We present an analysis of the horizon length selection and the impact on the running times compared to the infinite-horizon solution.

关键词： Vehicles Optimization Force Trajectory Planning Acceleration Controllability

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Multi-level dynamic instantiation for resolving node-edge dichotomy

Multi-level dynamic instantiation for resolving node-edge di...

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International Conference on Model-Driven Engineering and Software Development (MODELSWARD)

作者： Zoltan Theisz Gergely Mezei Huawei Design Centre Athlone Ireland Dept. of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (纸本)9781509058983

The core idea of metamodel-based model construction is well established. However, there are different metamodeling approaches relying on various modeling structures and instantiation procedures. Although, in general, these approaches offer similar features, they are sometimes incompatible with each other. Therefore, a precise abstract definition of instantiation is needed. The paper describes an abstract modeling framework, which is easily customizable in order to adapt it to different multi-level modeling techniques. The framework consists of an abstract modeling structure, basic built-in constructs, and a dynamic instantiation procedure. The paper demonstrate the flexibility of the approach by a specific bootstrap that is explicitly designed for the rebalancing of the node-edge antagonism, which is mostly the origin of many reification patterns applied in current meta-model designs. Although the proposed solution to the node-edge dichotomy is only an example of our multi-level meta-modeling approach, it is per se a valuable achievement showing that it can be done in a more elegant manner than it is usually expressed in other state-of-the art modeling frameworks.

关键词： Metamodeling Algebra Topology Adaptation models Pragmatics Cloud computing

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Wireless applications of mobile egomotion estimation with computer vision 21

Wireless applications of mobile egomotion estimation with co...

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21st European Wireless Conference, European Wireless 2015

作者： Kundra, László Ekler, Péter Charaf, Hassan Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (纸本)9783800739769

In this paper a summary of our orientation estimation algorithm is introduced with a focus on application areas on mobiles and in wireless environments. The standard problem of using gyroscopes for orientation estimation is that integration of raw angular rates with non-zero bias will lead to continuous drift of the result angle. To examine the nature of this bias, a simple error model was constructed for the whole device in terms of inertial sensing. For eliminating the bias, a sensor fusion algorithm was developed using the benefits of optical flow from the camera of the device. Our orientation estimator and bias removal method is based on complementary filters, in combination with an adaptive reliability filter for the optical flow features. The feedback of the fused result is combined with the raw gyroscope angular rates to compensate the bias. Various measurements were recorded on a real device running the demanding optical flow onboard. Our results are tested and reliable, and are able to enhance different application from the field of physics-education to current robust unmanned vehicles. © VDE Verlag GMBH, Berlin, Offenbach, Germany.

关键词： Computer vision

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Increasing data distribution in BitTorrent networks by using network coding techniques 21

Increasing data distribution in BitTorrent networks by using...

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21st European Wireless Conference, European Wireless 2015

作者： Braun, Patrik J. Sipos, Márton Ekler, Péter Charaf, Hassan Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (纸本)9783800739769

Peer-to-peer networks are well known for their benefits when used for sharing data among multiple users. One of the most common protocols for shared data distribution is BitTorrent. Despite its popularity, it has some in efficiencies that affect the speed of the content distribution. In this paper we investigate methods to improve these inefficiencies by employing network coding. A BitTorrent protocol extension built on top of network coding is proposed that keeps backward compatibility with the basic BitTorrent protocol. With the help of a selfdeveloped simulation environment, we run several measurements of different scenarios. We focus on the initial phase in the distribution of the data, when only one seeder exists along with several leechers. We define a metric for the state of a network to make measurements easily and clearly comparable. Through our results, we show that BitTorrent doesn't behave efficiently at every stage of the content distribution process. By using our protocol extension, this inefficiency can be lowered or completely removed. This decreases the time taken for all peers to collect the data by up to 20%. © VDE Verlag GMBH, Berlin, Offenbach, Germany.

关键词： Network coding

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Measuring semantic similarity of words using concept networks 1

Measuring semantic similarity of words using concept network...

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1st Workshop on Representation Learning for NLP, Rep4NLP 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016

作者： Recski, Gabor Iklodi, Eszter Pajkossy, Katalin Kornai, Andras Research Institute for Linguistics Hungarian Academy of Sciences Benczúr u. 33 BudapestH-1068 Hungary Dept of Automation and Applied Informatics Budapest U of Technology and Economics Magyar tudósok krt. 2 BudapestH-1117 Hungary Department of Algebra Budapest U of Technology and Economics Egry J. u. 1 BudapestH-1111 Hungary Institute for Computer Science Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary

ISBN: (纸本)9781945626043

We present a state-of-the-art algorithm for measuring the semantic similarity of word pairs using novel combinations of word embeddings, WordNet, and the concept dictionary 4lang. We evaluate our system on the SimLex-999 benchmark data. Our top score of 0.76 is higher than any published system that we are aware of, well beyond the average inter-annotator agreement of 0.67, and close to the 0.78 average correlation between a human rater and the average of all other ratings, suggesting that our system has achieved nearhuman performance on this benchmark. © 2016 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All Rights Reserved.

关键词： Benchmarking

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FPGA-synthesizable electrical battery cell model for high performance real-time algorithms

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica Electrical engineering and computer science 2016年第3期60卷 163-170页

作者： Debreceni, Tibor Szabó, Péter Balázs, Gergely György Varjasi, István Department of Automation and Applied Informatics Faculty of Electrical and Informatics Engineering Budapest University of Technology and Economics P.O.B. 91 BudapestH-1521 Hungary Siemens Zrt. Gizella út 51-57 BudapestH-1143 Hungary

Modern battery management systems (BMS) for advanced battery energy storages are expected to provide sufficient and reliable State-of-Charge (SoC) and State-of-Health (SoH) information. Focusing also on mid- and long-term maintenance purposes, health monitoring can be realized only by using high performance real-time estimation algorithms involving online electrical battery cell model. Due to the nonlinear I-V characteristics of cells and multivariable nonlinear functions describing the model parameters, a real-time model synthesized to FPGA seems to be the best solution to fulfill also the strongest requirements of energy management and e-mobility applications in respect of scalability, modularity, accuracy and effectiveness. In this paper, an FPGA-synthesizable battery cell model is presented and proposed. The design approach is discussed from offline to online model design including the model considerations using MATLAB/Simulink®. The performance analysis and evaluation referenced to the offline model are presented and discussed. © 2016, Technical university of budapest. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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RTR+C∗CS: An effective geometric planner for car-like robots 16

RTR+C∗CS: An effective geometric planner for car-like robot...

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2015 16th IEEE International Carpathian Control Conference, ICCC 2015

作者： Csorvási, Gábor Nagy, Ákos Kiss, Domokos Department of Automation and Applied Informatics Budapest University of Technology and Economics Hungary

ISBN: (纸本)9781479973705

The need for intelligent autonomous vehicles is increasing in industrial and everyday life as well. Path planning among obstacles is one of the challenging problems to be solved to achieve autonomous navigation. In this paper we present a global geometric path planning method for car-like robots, which proved to be effective especially in cluttered environments, containing narrow passages. Navigation in such scenarios usually requires non-obvious manoeuvring with many reversals, which is challenging even for a human driver. We also present a comparative analysis of our method with possible alternatives from the literature to illustrate its effectiveness regarding computation time and path quality. © 2015 IEEE.

关键词： Motion planning

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Path planning and control of differential and car-like robots in narrow environments 13

Path planning and control of differential and car-like robot...

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13th IEEE International Symposium on applied Machine Intelligence and informatics, SAMI 2015

作者： Nagy, Ákos Csorvási, Gábor Kiss, Domokos Department of Automation and Applied Informatics Budapest University of Technology and Economics Hungary

ISBN: (纸本)9781479982219

This paper presents a comprehensive solution for path planning and control of two popular types of autonomous wheeled vehicles. Differentially driven and car-like motion systems are the most widespread structures among wheeled mobile robots. The planning algorithm employs a rapidly exploring random tree based global planner (RTR), which generates paths made of straight motion and in place turning primitives. Such paths can be directly followed by a differential drive robot. Carlike robots have a minimum turning radius constraint, hence we present a local steering method (C∗CS) which obtains a path consisting circular and straight movements based on the primary RTR-path, without losing the existence of the solution. Additionally, a velocity profile generation algorithm is presented, which is responsible for the distribution of the time parameter along the geometric path, taking the physical limitations of the robot into account. Finally, control algorithms for path following are given for both robot types. Simulations and real experiments show the effectiveness of these methods, even is constrained environments containing narrow corridors and passages. © 2015 IEEE.

关键词： Mobile robots

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Erratum to: Search for supersymmetry in final states with two same-sign or three leptons and jets using 36 fb−1 of = 13 TeV pp collision data with the ATLAS detector

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Journal of High Energy Physics 2019年第8期2019卷 1-19页

作者： Aaboud, M. Aad, G. Abbott, B. Abdinov, O. Abeloos, B. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, M. Adye, T. Affolder, A. A. Afik, Y. Agatonovic-Jovin, T. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akatsuka, S. Akerstedt, H. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Alberghi, G. L. Albert, J. Albicocco, P. Alconada Verzini, M. J. Alderweireldt, S. C. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Ali, B. Aliev, M. Alimonti, G. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alstaty, M. I. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M. G. Amadio, B. T. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkov, A. V. Anjos, N. Annovi, A. Antel, C. Antonelli, M. Antonov, A. Antrim, D. J. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Araujo Ferraz, V. Arce, A. T. H. Ardell, R. E. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, M. Armbruster, A. J. Armitage, L. J. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Ashkenazi, A. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N. B. Augsten, K. Avolio, G. Axen, B. Ayoub, M. K. Azuelos, G. Baas, A. E. Baca, M. J. Bachacou, H. Bachas, K. Backes, M. Bagnaia, P. Bahmani, M. Bahrasemani, H. Baines, J. T. Bajic, M. Baker, O. K. Baldin, E. M. Balek, P. Balli, F. Balunas, W. K. Banas, E. Bandyopadhyay, A. Banerjee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisits, M-S Barkeloo, J. T. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barnovska-Blenessy, Z Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman U.S.A. Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Department of Physics University of Toronto Toronto Canada Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz U.S.A. Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene U.S.A. Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb U.S.A. Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física Experimental de Partículas – LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos Universidad de Granada Granada Portugal Department of Physics Boston University Boston U.S.A. Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Roma Italy Dip

One correction is made to the figure 4e of the paper.

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