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Eastern European Regional Conference on the Engineering of Computer-Based Systems ECBS-EERC

作者： Kundra, Laszlo ekler, peter Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary

ISBN: (纸本)9781467379670

In this paper techniques for reliable orientation estimation on Android-based devices are investigated in the aspect of processing demand. In terms of reliability, an optical flow based sensor fusion method is proposed. With a well detailed measurement configuration, the results are shown in the aspect of processor load and different frame rate for both synchronous and asynchronous processing.

关键词： optical flow frame rate processor load android performance orientation estimation

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Regression Model Building and Efficiency Prediction of RoHCv2 Compressor Implementations for VoIP

Regression Model Building and Efficiency Prediction of RoHCv...

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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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Performance Prediction of Robust Header Compression version 2 for RTP Audio Streaming Using Linear Regression

Performance Prediction of Robust Header Compression version ...

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European Wireless 2016;22th European Wireless Conference

作者： Mate Toemoeskoezi Patrick Seeling peter ekler Frank H. P. Fitzek

Modern cellular networks utilising the long-term evolution (LTE) and the coming 5G set of standards face an ever-increasing demand for mobile data with low latency from connected devices. Header compression is employed to minimise the overhead for IP-based cellular network traffic, thereby decreasing the overall bandwidth usage, which consequently results in decreased delay for transmissions. In this paper, we evaluate a basic linear function to predict Robust Header Compression version 2's (RFC 5225) RTP compression savings on-the-fly, which will enable the compression to adapt to varying channel conditions dynamically. We find that this approach can achieve more than 90% accuracy for low error rates while being computationally non-demanding. This will aid future compressors to minimise compression overhead, thereby increasing the compression gain even further.

关键词： performance prediction Linear Regression compression Error analysis Header audio streaming Rapid thermal processing mobile data traffic network transmission

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Performance Evaluation and Implementation of IP and Robust Header Compression Schemes for TCP and UDP Traffic in the Wireless Context 4

Performance Evaluation and Implementation of IP and Robust H...

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Eastern European Regional Conference on the Engineering of Computer-Based Systems ECBS-EERC

作者： Tomoskozi, Mate Seeling, Patrick ekler, peter Fitzek, Frank H. P. Acticom GmbH Berlin Germany Aalborg Univ Dept Elect Syst Aalborg Denmark Cent Michigan Univ Dept Comp Sci Mt Pleasant MI 48859 USA Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary

ISBN: (纸本)9781467379670

Modern cellular networks utilizing the long-term evolution (LTE) set of standards face an ever-increasing demand for mobile data from connected devices and header compression is employed to minimize the overhead for IP-based cellular network traffic. In this paper, we evaluate the three implementations of header compressions used by these networks with respect to their potential throughput increase and complexity for different mobile service scenarios over wireless IP networks. Specifically, we consider header compression as defined by (i) IP Header Compression (RFC 2507), (ii) Robust Header Compression version 1 (RFC 3095), and (iii) the recently updated Robust Header Compression version 2 (RFC 5225) with TCP/IP profile (RFC 6846). The novelty of this paper is the presentation of the performance evaluation of IP Header Compression for UDP and TCP, as well as a comparison between the two compression methods. Our findings show that all implementations have great potential for saving bandwidth in IP-based wireless networks, even under varying channel conditions. While the RoHC versions generally provide more reliable results than IPHC, we find that on a unidirectional channel, IPHC could perform better.

关键词： Robust header compression Mobile multimedia Cellular networks Bandwidth savings

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ICT IN ROAD VEHICLES - The VehicleICT Platform

ICT IN ROAD VEHICLES - The <i>VehicleICT</i> Platform

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International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

作者： Lengyel, Laszlo ekler, peter Ujj, Tamas Balogh, Tamas Charaf, Hassan Szalay, Zsolt Jereb, Laszlo Budapest Univ Technol & Econ Magyar Tudosok Krt 2 H-1117 Budapest Hungary

ISBN: (纸本)9789633131428

Vehicles are not just a means of transportation anymore, but they are also moving entities that collect and transmit a great amount of local data, captured by sensors from the internals of the vehicle and from its environment as well. The consumers of this information include the passengers, especially the driver, and the environment, i.e. other vehicles, intelligent gates, centralized storage systems and data processing solutions. In order to maximize the value provided to the passengers, other vehicles and also the urban society, vehicle services utilize the local nature of the data. This paper discusses the VehicleICT platform, which is a proof of concept implementation, developed by a research institute and an automotive industrial partner.

关键词： vehicle ICT ICT in road vehicle ICT platform for road vehicles ODB-II CAN bus mobile big data management

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ICT IN ROAD VEHICLES - Reliable vehicle sensor information from OBD versus CAN

ICT IN ROAD VEHICLES - Reliable vehicle sensor information f...

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International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

作者： Szalay, Zsolt Kanya, Zoltan Lengyel, Laszlo ekler, peter Ujj, Tamas Balogh, Tamas Charaf, Hassan Budapest Univ Technol & Econ 6 Stoczek Str Bld J Room 505 H-1111 Budapest Hungary Inventure Automot Elect R&D Budapest Hungary

ISBN: (纸本)9789633131428

The focus of the research and development activities in Intelligent Transportation Systems is to increase road traffic safety and improve transport efficiency. Telematics Systems can provide values on both fields, by providing real-time reliable vehicle specific information [1]. Road vehicle related information can be categorized into several types, but technical information provided through the electronic network of today's vehicles is becoming an increasingly important segment. Using the standard on-board diagnostics (OBD) is a popular solution nowadays for getting out technical data from the vehicle, but it has its limitations [2]. Professional systems rather use direct access to the vehicles CAN network to extract more detailed technical data out from the ECU communication [3]. Even automatic vehicle location (AVL) service providers have difficulties in differentiating between the possibilities and potentials of CAN bus and OBD. This article clearly identifies the differences between the solutions available on the market, by means of comparing the FMS CAN standard, the OBD standard and the Proprietary Vehicle CAN protocol. The comparison is not only theoretical, but it is based on different measurements and analysis. The measurement results demonstrate the benefits and limitations of these information sources. For the measurement we have used our VehicleICT [4] framework that provided the platform for storing and analyzing the data. Based on the provided comparison, the identified advantages and disadvantages of certain source types, we can select the proper solution for a specific requirement. One objective of this research activity is to clarify confusions about the relation of OBD and CAN from the Telematics Systems providers point of view. Besides that this research can be also considered as a pioneer work that demonstrates the capabilities of our VehicleICT framework.

关键词： CAN bus Fleet Management FMS standard ICT in road vehicles ITS OBD Proprietary Vehicle CAN Smart Transportation Telematics Vehicle diagnostics

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Wireless Applications of Mobile Egomotion Estimation with Computer Vision

Wireless Applications of Mobile Egomotion Estimation with Co...

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Proceedings of European Wireless 2015;21th European Wireless Conference

作者： Laszlo Kundra peter ekler Hassan Charaf

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.

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The Usage and Behavior Patterns of Mobile BitTorrent Clients

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JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 2014年第3期18卷 320-323页

作者： ekler, peter Csorba, Kristof Budapest Univ Technol & Econ Fac Elect Engn & Informat Dept Automat & Appl Informat Magyar Tudsok Krtja 2 H-1117 Budapest Hungary

With the many changes in mobile phone use, it is now common for users to connect to the Internet and share social and multimedia data, and peer-to-peer technology remains one of the most efficient solutions to content sharing. We analysed the lifecycle of content shared using the BitTorrent network, focusing on torrents retrieved by mobile phone clients using our MobTorrent application. MobTorrent, a complete BitTorrent client for feature phones, enables anonymous usage statistics to be collected. Based on statistics collected over the last three years, we analyze how mobile BitTorrent clients are being used. We discuss the success of individual sessions by additionally measuring peer connection download and success ratio statistics. This research can be considered as a pioneer work in the field of mobile content sharing solutions.

关键词： feature phone BitTorrent peer-to-peer user behavior

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SensorHUB: An IoT Driver Framework for Supporting Sensor Networks and Data Analysis

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2015年 000卷

作者： Lengyel, Laszlo ekler, peter Ujj, Tamas Balogh, Tamas Charaf, Hassan Budapest Univ Technol & Econ H-1117 Budapest Hungary

The Internet of Things (IoT) is transforming the surrounding everyday physical objects into an ecosystem of information that enriches our everyday life. The IoT represents the convergence of advances in miniaturization, wireless connectivity, and increased data storage and is driven by various sensors. Sensors detect and measure changes in position, temperature, light, and many others;furthermore, they are necessary to turn billions of objects into data-generating "things" that can report on their status and often interact with their environment. Application and service development methods and frameworks are required to support the realization of solutions covering data collection, transmission, data processing, analysis, reporting, and advanced querying. This paper introduces the SensorHUB framework that utilizes the state-of-the-art open source technologies and provides a unified tool chain for IoT related application and service development. SensorHUB is both a method and an environment to support IoT related application and service development;furthermore, it supports the data monetization approach, that is, provides a method to define data views on top of different data sources and analyzed data. The framework is available in a Platform as a Service (PaaS) model and has been applied for the vehicle, health, production lines, and smart city domains.

关键词： Internet of things

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Non-Deceiving Features in Fused Optical Flow Gyroscopes

Non-Deceiving Features in Fused Optical Flow Gyroscopes

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IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Kundra, Laszlo ekler, peter Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary

ISBN: (纸本)9781479934423

Standard gyroscopes found in mobile phones tend to have bias in output angular rate. Nowadays these mobiles are also equipped with high resolution cameras and multimedia-ready processors capable to calculate optical flow from shot images. In order to lower the gyroscope bias, thus leading to a less drifting integrated angle, camera based optical flow values can aid regular gyroscope values to produce a robust output. In this paper an adaptive algorithm is presented to fuse optical flow angular rates with gyroscope output, in a way to eliminate deceiving tracked features on camera images, caused by moving object in the field of view of the camera. Measurements were recorded with a robotic arm using an Android phone. Further simulations were also tested in MATLAB to investigate the limits of this algorithm.

关键词： Gyroscopes Optic Flow Cameras robotic arm Mobile phones HIGH RESOLUTION CAMERAS field of view MATLAB flow values

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