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The Usage and Behavior Patterns of Mobile BitTorrent Clients

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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Algorithmic Splitting: A Method for Dataset Preparation

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IEEE ACCESS 2021年 9卷 125229-125237页

作者： Kahloot, Khalid M. ekler, peter Budapest Univ Technol & Econ Dept Automat & Appl Informat H-1117 Budapest Hungary

The datasets that appear in publications are curated and have been split into training, testing and validation sub-datasets by domain experts. Consequently, machine learning models typically perform well on such split-by-hand prepared datasets. Whereas preparing real-world datasets into curated split training, testing and validation sub-dataset requires extensive effort. Usually, repetitive random splits are carried out and trained and evaluated on until reaching out a good score on the evaluation metrics. In this paper, an algorithmic method is proposed for preparing the sub-datasets splits for machine learning models. The objective of the proposed method is to achieve an evenly representative splits out of the dataset with standard and algorithmic way that reduce the perplexity of random splitting.

关键词： Training Testing Data models Machine learning Machine learning algorithms Standards Clustering algorithms Data preprocessing clustering algorithms machine learning

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Energy Aware IoT Routing Algorithms in Smart City Environment

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IEEE ACCESS 2022年 10卷 87733-87744页

作者： ekler, peter Levendovszky, Janos Pasztor, Daniel Budapest Univ Technol & Econ Fac Elect Engn & Informat Dept Automat & Appl Informat H-1111 Budapest Hungary Budapest Univ Technol & Econ Fac Elect Engn & Informat Dept Networked Syst & Serv H-1111 Budapest Hungary

Energy efficiency is one of the key aspects of IoT and Wireless Sensor Networks (WSNs) since the nodes of the network are running on battery power and the lifespan of the system is an important mission-critical parameter. In WSNs, where the energy consumption mainly depends on the radio interface and the transmission protocols, reliable packet forwarding from the source node to Base Station (BS) is crucial. In this paper, we focus on developing new routing algorithms which extend the lifespan of WSNs by achieving optimal energy balancing subject to the criterion that the packets must reach the BS with a predefined probability. We will propose novel two-hop and multi-hop routing algorithms to achieve this objective. The performance of the novel algorithms is compared with the LEACH routing protocol. Extensive simulations prove that the new routing methods are indeed energy efficient, and they are able to meet the predefined reliability criteria as well. The results given in this paper can contribute to reliable communication in IoT or WSN networks and result in lower energy consumption.

关键词： Routing Wireless sensor networks Clustering algorithms Reliability Base stations Spread spectrum communication Collaboration Energy efficiency Internet of Things Energy efficiency IoT routing sensor network

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Orientation estimation in modern wearables with visual feature tracking

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JOURNAL ON MULTIMODAL USER INTERFACES 2015年第4期9卷 313-322页

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

In this paper we propose and examine a robust method for orientation estimation of wearables (like Google Glass) through bias compensation of gyroscope. Through integration of raw angular rates, the resulting orientation estimate will drift, due to the non-zero bias of the measured gyroscope was also accumulated. A simple error model was constructed for the measurement capabilities of the device, in terms of inertial sensing of rotation. Using the benefits of feature point displacements (as optical flow) from the camera of the device, a sensor fusion algorithm was developed to lower, and compensate the bias. The introduced orientation estimator and bias removal method is based on adaptive reliability filter for the optical flow feature points. To fuse the remaining feature point displacements into one single value, various aggregation methods have been tested, and a maximum a-posteriori estimator was applied on the dataset. To further lower the bias from the gyroscope, the output of the system was used as a feedback to calculate a bias estimate. To measure the performance and investigate the benefits of the asynchronous work-flow, the optical flow was performed on various devices in real time. To validate the results of the simulations, real world measurements were performed with industrial robots. Our reliable, adaptive filter matched our expectations, could compensate the bias well, and the integrated output of the system had no significant drift.

关键词： Orientation estimation Gyroscope Optical flow Wearable Sensor fusion Modality-oriented CogInfoCom Augmented sensing

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5th International Conference on Wireless and Mobile Communications

作者： ekler, peter Lukovszki, Tamas Budapest Univ Technol & Econ Dept Automat & Appl Informat Magyar Tudosok Korutja 2 H-1113 Budapest Hungary Eotvos Lorand Univ Fac Informat H-1364 Budapest Hungary

ISBN: (纸本)9780769537504

In this work we define the term of phonebook centric-social networks, describe a graph model and study structural properties of this. The key difference between phonebook-centric social networks and usual social networks is allowing synchronization between the phonebook of the mobile phone and the network. By the synchronization the goal is to identify the persons listed in the phonebook and the network, it means to find similar entries and keep the data consistent. In that way the contacts of a member of a phonebook-centric social network becomes independent from the current phone. The number of similarities is crucial in phonebook-centric social networks from, scalability point of view. We found that the distribution of similarities can be very well approximated by power law distribution. This means that few users involve a huge amount of similarities while the most of them only few ones.

关键词： social networks mobile phone syncronization similarities graph structure

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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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Resource Requirement Estimation of Advertising Websites\

Resource Requirement Estimation of Advertising Websites\

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13th IEEE International Symposium on Computational Intelligence and Informatics (CINTI)

作者： Kocsis, Gergely ekler, peter Origo Zrt Budapest Hungary Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary

ISBN: (纸本)9781467352062;9781467352055

The page views of domestic advertising sites are one of the largest after social networking and online newspaper sites. Basically, we can make a distinction between two main types of measurement. One of them is the so-called, newspaper type" website where articles stay in the database in perpetuity. The system never deletes the users-data. The other type is called, advertising type" website where the system deletes expired ad and all related user-data. In this paper the "advertising type" of websites is considered. Web analytics is a process through which statistics about website usage and user behaviors are gathered. Such an analytics program can be used as a tool to get information about users, who they are, where they are coming from, how often they are visiting a website and how much time do they spend on a website. In this paper we show how to calculate the number of user-data records generated in the database per day and total from system startup in general. In addition, we use a detailed user-data database of a small classifieds website to illustrate the utility of models.

关键词： Web statistics Web analysis system and database design Web search engines

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Visual Feature Tracking Aided Orientation Estimation in Modern Wearables 5

Visual Feature Tracking Aided Orientation Estimation in Mode...

引用

5th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

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

ISBN: (纸本)9781479972807

In this paper techniques are introduced for orientation estimation of wearable devices (like Google Glass) through bias compensation of gyroscope. The standard problem of using gyroscopes is that integration of raw angular rates with non-zero bias will lead to continuous drift of the estimated orientation. 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. This way a robust and reliable fusion was constructed, which matched our expectations, and has been validated with simulations and real world measurements.

关键词： adaptive filters cameras compensation feature extraction gyroscopes image fusion image sequences wearable computers Google Glass adaptive reliability filter bias elimination bias removal method complementary filters continuous orientation drift error model gyroscope bias compensation inertial sensing nonzero bias optical flow features raw gyroscope angular rates sensor fusion algorithm visual feature tracking-aided orientation estimation wearable devices Adaptive optics Cameras Estimation Gyroscopes Optical imaging Optical sensors Reliability Gyroscopes Cameras Wearable computers complementary filter error model adaptive filters adaptive optics optical sensors image sequences image fusion Optical Imaging Sensor fusion Optic Flow compensated Feature extraction

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Efficiency Aspects of Orientation Estimation with Optical Flow on Mobiles 4

Efficiency Aspects of Orientation Estimation with Optical Fl...

引用

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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Experiences with phonebook-centric social networks

Experiences with phonebook-centric social networks

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7th IEEE Consumer Communications and Networking Conference

作者： ekler, peter Lukovszki, Tamas Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary Eotvos Lorand Univ Fac Informat H-1364 Budapest Hungary

ISBN: (纸本)9781424451753

Social networks are becoming more and more popular nowadays. The increasing capabilities of mobile phones enable them to participate in such networks. The phonebooks in the mobile devices represent social relationships, that can be integrated in the social networks. Following we refer to this solution as phonebook-centric social networks. Such networks provide a synchronization mechanism between phonebooks of the users and the social network which allows detecting network members listed in the phonebooks (semi-) automatically. The detection of those members is based on the similarity of the personal data, e.g., similar name, same phone number, address, etc... Users can mark similarities between their phonebook contacts and members in the network. After this, if one of their contacts changes her or his personal detail, it will be propagated automatically into the phonebooks, after considering privacy settings. Synchronization time and energy consumption for synchronization on the mobiles and the scalability of the system strongly depend on the number of users and similarities. We have implemented a phonebook-centric social network, called Phonebookmark and investigated the structure of the network. We experienced that the distribution of similarities follows a power law, as well as the distribution of the in- and out-degrees in the social network In this paper we propose a model for estimating the total number of similarities and we show that this estimation applies very well to the historical data of Phonebookmark.

关键词： social networks mobile phones power law distribution

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