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  • 1.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Senior, Alexander
    Monash University, Melbourne, VIC.
    Khan, Asad
    Monash University, Melbourne, VIC.
    Sekercioglu, Ahmet
    Monash University, Melbourne, VIC.
    Holographic Graph Neuron: a Bio-Inspired Architecture for Pattern Processing2017In: IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, E-ISSN 2162-2388, Vol. 28, no 6, 1250-1262 p.Article in journal (Refereed)
    Abstract [en]

    This article proposes the use of Vector Symbolic Architectures for implementing Hierarchical Graph Neuron, an architecture for memorizing patterns of generic sensor stimuli. The adoption of a Vector Symbolic representation ensures a one-layered design for the approach, while maintaining the previously reported properties and performance characteristics of Hierarchical Graph Neuron, and also improving the noise resistance of the architecture. The proposed architecture enables a linear (with respect to the number of stored entries) time search for an arbitrary sub-pattern.

  • 2.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kleyko, Denis
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Papakonstantinou, Nikolaos
    VTT Technical Research Centre of Finland.
    Approximate Sensing with Vector Symbolic Architectures: The case of fault isolation in distributed automation systems2017In: Proceedings: EWSN ’17 Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, New york: ACM Digital Library, 2017, 224-225 p.Conference paper (Refereed)
    Abstract [en]

    Due to the stochastic and imprecise nature of sensory data, the current (exact computational) algorithms for their processing introduce unnecessary computational overhead. One of the major trends in the development of computation al elements for processing of sensory data is low-power imprecise electronics and accompanying algorithmic solutions for approximate computing. This poster introduces the usage of hyper-dimensional computing and vector-symbolic architectures in the context of wireless embedded systems. A problem of fault isolation in a distributed automation system is considered as a showcase. The poster presents the performance of the associative sensing approach as well as challenges associated with the design of communication techniques and network protocols for exchanging of VSA information.

  • 3.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Khan, Sumeer
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Yong, Suet-Peng
    Department of Computer and Information Sciences, Universiti Teknologi PETRONAS.
    Modality Classification of Medical Images with Distributed Representations Based on Cellular Automata Reservoir Computing2017In: Proceedings - International Symposium on Biomedical Imaging, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017Conference paper (Refereed)
    Abstract [en]

    Modality corresponding to medical images is a vital filter in medical image retrieval systems. This article presents the classification of modalities of medical images based on the usage of principles of hyper-dimensional computing and reservoir computing. It is demonstrated that the highest classification accuracy of the proposed method is on a par with the best classical method for the given dataset (83% vs. 84%). The major positive property of the proposed method is that it does not require any optimization routine during the training phase and naturally allows for incremental learning upon the availability of new training data.

  • 4.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    No Two Brains Are Alike: Cloning a Hyperdimensional Associative Memory Using Cellular Automata Computations2017In: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists: First International Early Research Career Enhancement School on BICA and Cybersecurity (FIERCES 2017) / [ed] Alexei V. Samsonovich, Valentin V. Klimov, Cham: Springer, 2017, 91-100 p.Conference paper (Refereed)
    Abstract [en]

    This paper looks beyond of the current focus of research on biologically inspired cognitive systems and considers the problem of replication of its learned functionality. The considered challenge is to replicate the learned knowledge such that uniqueness of the internal symbolic representations is guaranteed. This article takes a neurological argument “no two brains are alike” and suggests an architecture for mapping a content of the trained associative memory built using principles of hyperdimensional computing and Vector Symbolic Architectures into a new and orthogonal basis of atomic symbols. This is done with the help of computations on cellular automata. The results of this article open a way towards a secure usage of cognitive architectures in a variety of practical application domains.

  • 5.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kleyko, Denis
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Shapin, Alexey
    Siberian State University of Telecommunications and Information Sciences.
    An Approach for Self-Adaptive Path Loss Modelling for Positioning in Underground Environments2016In: International Journal of Antennas and Propagation, ISSN 1687-5869, E-ISSN 1687-5877, Vol. 2016, 3424768Article in journal (Refereed)
    Abstract [en]

    This paper proposes a real-time self-adaptive approach for accurate path loss estimation in underground mines or tunnels based on signal strength measurements from heterogeneous radio communication technologies. The proposed model features simplicity of implementation. The methodology is validated in simulations and verified by measurements taken in real environments. The proposed method leverages accuracy of positioning matching the existing approaches while requiring smaller engineering efforts.

  • 6.
    Shapin, Alexey
    et al.
    Siberian State University of Telecommunications and Information Sciences.
    Kleyko, Denis
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Lyamin, Nikita
    Halmstad University, Siberian State University of Telecommunications and Information Sciences.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Melentyev, Oleg
    Siberian State University of Telecommunications and Information Sciences.
    Performance Peculiarities of Viterbi Decoder in Mathworks Simulink, GNU Radio and Other Systems with Likewise Implementation2016Report (Other academic)
    Abstract [en]

    The performance of convolutional codes decoding by the Viterbi algorithm should not depend on the particular distribution of zeros and ones in the input messages, as they are linear. However, it was identified that specific implementations of Add-Compare-Select unit for the Viterbi Algorithm demonstrate the decoding performance that depends on proportion of elements in the input message. It is conjectured that the modern commercial hard- and software defined communication equipment may also feature similar implementation and as such their decoding performance could also vary.

  • 7.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Rachkovskij, Dmitri A.
    International Research and Training Center for Information Technologies and Systems.
    Modification of Holographic Graph Neuron using Sparse Distributed Representations2016In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 88, 39-45 p.Article in journal (Refereed)
    Abstract [en]

    This article presents a modification of the recently proposed Holographic Graph Neuron approach for memorizing patterns of generic sensor stimuli. The original approach represents patterns as dense binary vectors, where zeros and ones are equiprobable. The presented modification employs sparse binary distributed representations where the number of ones is less than zeros. Sparse representations are more biologically plausible because activities of real neuronsare sparse. Performance was studied comparing approaches for different sizes of dimensionality.

  • 8.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hostettler, Roland
    Department of Electrical Engineering and Automation, Aalto University.
    Lyamin, Nikita
    School of Information Technology, Halmstad University.
    Birk, Wolfgang
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Wiklund, Urban
    Department of Biomedical Engineering and Informatics, Umeå University.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Vehicle Classification using Road Side Sensors and Feature-free Data Smashing Approach2016In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016, 1988-1993 p., 7795877Conference paper (Refereed)
    Abstract [en]

    The main contribution of this paper is a study of the applicability of data smashing – a recently proposed data mining method – for vehicle classification according to the “Nordic system for intelligent classification of vehicles” standard, using measurements of road surface vibrations and magnetic field disturbances caused by passing vehicles. The main advantage of the studied classification approach is that it, in contrast to the most of traditional machine learning algorithms, does not require the extraction of features from raw signals. The proposed classification approach was evaluated on a large dataset consisting of signals from 3074 vehicles. Hence, a good estimate of the actual classification rate was obtained. The performance was compared to the previously reported results on the same problem for logistic regression. Our results show the potential trade-off between classification accuracy and classification method’s development efforts could be achieved.

  • 9.
    Wedekind, Daniel
    et al.
    Institute of Biomedical Engineering, TU Dresden.
    Kleyko, Denis
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Malberg, Hagen
    Institute of Biomedical Engineering, TU Dresden.
    Zaunseder, Sebastian
    Institute of Biomedical Engineering, TU Dresden.
    Wiklund, Urban
    Department of Biomedical Engineering & Informatics, Ume˚a University.
    Sparse Coding of Cardiac Signals for Automated Component Selection after Blind Source Separation2016In: Computing in cardiology, ISSN 2325-8861, E-ISSN 2325-887X, Vol. 43, 785-788 p., 7868860Article in journal (Refereed)
    Abstract [en]

    Wearable sensor technology like textile electrodes provides novel ambulatory health monitoring solutions but most often goes along with low signal quality. Blind Source Separation (BSS) is capable of extracting the Electrocardiogram (ECG) out of heavily distorted multichannel recordings. However, permutation indeterminacy has to be solved, i.e. the automated selection of the desired BSS output. Accordingly, we exploit the sparsity of the ECG modeled as a spike train of successive heartbeats. A binary code derived from a two-item dictionary fpeak, no peakg and physiological a-priori information temporally represents every BSS output component. The (best) ECG component is automatically selected based on a modified Hamming distance comparing the components’ code with the expected code behavior. Non-standard ECG recordings from ten healthy subjects performing common motions while wearing a sensor garment were subsequently processed in 10 s segments with spatio-temporal BSS. Our sparsity-based selection RCODE achieved 98.1% heart beat detection accuracy (ACC) by selecting a single component each after BSS. Traditional component selection based on higher-order statistics (e.g. skewness) achieved only 67.6% ACC.

  • 10.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Gayler, Ross W.
    La Trobe University.
    Recognizing permuted words with Vector Symbolic Architectures: A Cambridge test for machines2016In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 88, 169-175 p.Article in journal (Refereed)
    Abstract [en]

    This paper proposes a simple encoding scheme for words using principles of Vector Symbolic Architectures. The proposed encoding allows finding a valid word in the dictionary for a given permuted word (represented using the proposed approach) using only a single operation - calculation of Hamming distance to the distributed representations of valid words in the dictionary. The proposed encoding scheme can be used as an additional processing mechanism for models of word embedding, which also form vectors to represent the meanings of words, in order to match the distorted words in the text to the valid words in the dictionary.

  • 11.
    Riliskis, Laurynas
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Symphony: A Framework for Accurate and Holistic WSN Simulation2015In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 15, no 3, 4677-4699 p.Article in journal (Refereed)
    Abstract [en]

    Research on wireless sensor networks has progressed rapidly over the last decade, and these technologies have been widely adopted for both industrial and domestic uses. Several operating systems have been developed, along with a multitude of network protocols for all layers of the communication stack. Industrial Wireless Sensor Network (WSN) systems must satisfy strict criteria and are typically more complex and larger in scale than domestic systems. Together with the non-deterministic behavior of network hardware in real settings, this greatly complicates the debugging and testing of WSN functionality. To facilitate the testing, validation, and debugging of large-scale WSN systems, we have developed a simulation framework that accurately reproduces the processes that occur inside real equipment, including both hardware- and software-induced delays. The core of the framework consists of a virtualized operating system and an emulated hardware platform that is integrated with the general purpose network simulator ns-3. Our framework enables the user to adjust the real code base as would be done in real deployments and also to test the boundary effects of different hardware components on the performance of distributed applications and protocols. Additionally we have developed a clock emulator with several different skew models and a component that handles sensory data feeds. The new framework should substantially shorten WSN application development cycles.

  • 12.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Mousavi, Arash
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    How to make a distributed programming course a big fun2015In: Frontiers in Education Conference, Conference Proceedings, ISSN 1539-4565Article in journal (Refereed)
    Abstract [en]

    This article presents experiences of teachers from Luleâ University of Technology when enhancing the teaching approach and depth of an undergraduate course on network programming and distributed applications. During the trial run of the course in the fall of 2013 agent-oriented programming and cloud technologies were married to provide students an exciting practical scenario and capability to test the performance of truly large scale distributed systems under extremely high traffic loads.

  • 13.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Björk, Magnus
    Luleå tekniska universitet.
    Toresson, Henrik
    Luleå tekniska universitet.
    Öberg, Anton
    Luleå tekniska universitet.
    Fly-The-Bee: A game imitating concept learning in bees2015In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 71, 25-30 p.Article in journal (Refereed)
    Abstract [en]

    This article presents a web-based game functionally imitating a part of the cognitive behavior of a living organism. This game is a prototype implementation of an artificial online cognitive architecture based on the usage of distributed data representations and Vector Symbolic Architectures. The game emonstrates the feasibility of creating a lightweight cognitive architecture, which is capable of performing rather complex cognitive tasks. The cognitive functionality is implemented in about 100 lines of code and requires few tens of kilobytes of memory for its operation, which make the concept suitable for implementing in low-end devices such as minirobots and wireless sensors.

  • 14.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Gayler, Ross W.
    La Trobe University.
    Khan, Asad I.
    Monash University, Melbourne, VIC, Clayton School of Information Technology, CSIT, Monash University.
    Dyer, Adrian G.
    Media and Communication School, Royal Melbourne Institute of Technology.
    Imitation of honey bees’ concept learning processes using Vector Symbolic Architectures2015In: Biologically Inspired Cognitive Architectures, ISSN 2212-683X, E-ISSN 2212-6848, Vol. 14, 57-72 p.Article in journal (Refereed)
    Abstract [en]

    This article presents a proof-of-concept validation of the use of Vector Symbolic Architectures as central component of an online learning architectures. It is demonstrated that Vector Symbolic Architectures enable the structured combination of features/relations that have been detected by a perceptual circuitry and allow such relations to be applied to novel structures without requiring the massive training needed for classical neural networks that depend on trainable connections.The system is showcased through the functional imitation of concept learning in honey bees. Data from real-world experiments with honey bees (Avarguès-Weber et al., 2012) are used for benchmarking. It is demonstrated that the proposed pipeline features a similar learning curve and accuracy of generalization to that observed for the living bees. The main claim of this article is that there is a class of simple artificial systems that reproduce the learning behaviors of certain living organisms without requiring the implementation of computationally intensive cognitive architectures. Consequently, it is possible in some cases to implement rather advanced cognitive behavior using simple techniques.

  • 15.
    Dai, William
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Vyatkin, Valeriy
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Delsing, Jerker
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    A Configurable Cloud-Based Testing Infrastructure for Interoperable Distributed Automation Systems2015In: IECON 2014: 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA , Oct. 29 2014-Nov. 1 2014, Piscataway, NJ: IEEE Communications Society, 2015, 2492-2498 p.Conference paper (Refereed)
    Abstract [en]

    The interoperability between various automation systems is considered as one of the major character of future automation systems. Service-oriented Architecture is a possible interoperability enabler between legacy and future automation systems. In order to prove the interoperability between those systems, a verification framework is essential. This paper proposes a configurable cloud-based validation environment for interoperability tests between various distributed automation systems. The testing framework is implemented in a multi-layer structure which provides automated closed-loop testing from the protocol level to the system level. The testing infrastructure is also capable for simulating automation systems as well as wireless sensor networks in the cloud. Test cases could be automatically generated and executed by the framework.

  • 16.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Papakonstantinou, Nikolaos
    VTT Technical Research Centre of Finland, Espoo.
    Vyatkin, Valeriy
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Mousavi, Arash
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Fault Detection in the Hyperspace: Towards Intelligent Automation Systems2015In: IEEE International Conference on Industrial Informatics: INDIN 2015, Cambridge, UK, July 22-24, 2015. Proceedings, Piscataway, NJ: IEEE Communications Society, 2015, 1219-1224 p., 7281909Conference paper (Refereed)
    Abstract [en]

    This article presents a methodology for intelligent, biologically inspired fault detection system for generic complex systems of systems. The proposed methodology utilizes the concepts of associative memory and vector symbolic architectures, commonly used for modeling cognitive abilities of human brain. Compared to classical methods of artificial intelligence used in the context of fault detection the proposed methodology shows an unprecedented performance, while featuring zero configuration and simple operations.

  • 17.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hostettler, Roland
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Birk, Wolfgang
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Comparison of Machine Learning Techniques for Vehicle Classification using Road Side Sensors2015In: Proceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems: Las Palmas, 15-18 Sept. 2015, Piscataway, NJ: IEEE Communications Society, 2015, 572-577 p., 7313192Conference paper (Refereed)
    Abstract [en]

    The main contribution of this paper is a comparison of different machine learning algorithms for vehicle classification according to the "Nordic system for intelligent classification of vehicles" standard using measurements of road surface vibrations and magnetic field disturbances caused by vehicles. The algorithms considered are logistic regression, neural networks, and support vector machines. They are evaluated on a large dataset, consisting of 3074 samples and hence, a good estimate of the actual classification rate is obtained. The results show that for the considered classification problem logistic regression is the best choice with an overall classification rate of 93.4%.

  • 18.
    Riliskis, Laurynas
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Maestro: an orchestration framework for large scale WSN simulations2014In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 14, no 3, 5392-5414 p.Article in journal (Refereed)
    Abstract [en]

    Contemporary wireless sensor networks (WSNs) have evolved into large and complex systems and are one of the main technologies used in cyber-physical systems and the Internet of Things. Extensive research on WSNs has led to the development of diverse solutions at all levels of software architecture, including protocol stacks for communications. This multitude of solutions is due to the limited computational power and restrictions on energy consumption that must be accounted for when designing typical WSN systems. It is therefore challenging to develop, test and validate even small WSN applications, and this process can easily consume significant resources. Simulations are inexpensive tools for testing, verifying and generally experimenting with new technologies in a repeatable fashion. Consequently, as the size of the systems to be tested increases, so does the need for large-scale simulations. This article describes a tool called Maestro for the automation of large-scale simulation and investigates the feasibility of using cloud computing facilities for such task. Using tools that are built into Maestro, we demonstrate a feasible approach for benchmarking cloud infrastructure in order to identify cloud Virtual Machine (VM)instances that provide an optimal balance of performance and cost for a given simulation.

  • 19.
    Sandin, Fredrik
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Khan, Asad I.
    Clayton School of Information Technology, CSIT, Monash University.
    Dyer, Adrian G.
    Department of Physiology, Monash University.
    Amin, Anang Hudaya M.
    Faculty of Information Science & Technology (FIST), Multimedia University, Melaka.
    Indiveri, Giacomo
    Institute of Neuroinformatics, University of Zurich and ETH Zurich.
    Chicca, Elisabetta
    Cognitive Interaction Technology, Center of Excellence, Bielefeld University.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects?2014In: Journal of Software Engineering and Applications, ISSN 1945-3116, E-ISSN 1945-3124, Vol. 7, no 5, 387-395 p.Article in journal (Refereed)
    Abstract [en]

    Vision systems that enable collision avoidance, localization and navigation in complex and uncertain environments are common in biology, but are extremely challenging to mimic in artificial electronic systems, in particular when size and power limitations apply. The development of neuromorphic electronic systems implementing models of biological sensory-motor systems in silicon is one promising approach to addressing these challenges. Concept learning is a central part of animal cognition that enables appropriate motor response in novel situations by generalization of former experience, possibly from a few examples. These aspects make concept learning a challenging and important problem. Learning methods in computer vision are typically inspired by mammals, but recent studies of insects motivate an interesting complementary research direction. There are several remarkable results showing that honeybees can learn to master abstract concepts, providing a road map for future work to allow direct comparisons between bio-inspired computing architectures and information processing in miniaturized “real” brains. Considering that the brain of a bee has less than 0.01% as many neurons as a human brain, the task to infer a minimal architecture and mechanism of concept learning from studies of bees appears well motivated. The relatively low complexity of insect sensory-motor systems makes them an interesting model for the further development of bio-inspired computing architectures, in particular for resource-constrained applications such as miniature robots, wireless sensors and handheld or wearable devices. Work in that direction is a natural step towards understanding and making use of prototype circuits for concept learning, which eventually may also help us to understand the more complex learning circuits of the human brain. By adapting concept learning mechanisms to a polymorphic computing framework we could possibly create large-scale decentralized computer vision systems, for example in the form of wireless sensor networks.

  • 20.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Lehikoinen, Timo
    VTT Technical Research Centre of Finland, Espoo.
    Kämäräinen, Jukka
    VTT Technical Research Centre of Finland, Espoo.
    Pellinen, Marko
    VTT Technical Research Centre of Finland, Espoo.
    Simulation Based Studies of Machine-to-Machine Communications2014In: Wireless Networking for Moving Objects: Protocols, Architectures, Tools, Services and Applications, New York: Encyclopedia of Global Archaeology/Springer Verlag, 2014, 239-254 p.Chapter in book (Refereed)
    Abstract [en]

    Simulations are essential for understanding complex systems such as Cyber Physical Systems. The creation of reliable multidisciplinary simulation tools that can be used to support the entire development process has been identified as a major scientific goal in several research roadmaps and agendas for the coming 15 years. This chapter presents two showcases, which highlight the necessity of trustworthy simulation tools, especially in the case of ma- chine-to-machine communications. First the performance of UWB radio technology in context of vehicle automation is evaluated. Second the experiences from performing the entire cycle of protocol development for machine-to-machine communications are presented. The two presented showcases support a conclusion that a successful simulation platform should have a us- er-friendly simulation framework and models that support virtualization. This will enable the incorporation of simulations into day-to-day engineering prac- tice and thereby shrink the gap between the real and the virtual developing environments.

  • 21.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    On bidirectional transitions between localist and distributed representations: The case of common substrings search using Vector Symbolic Architecture2014In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 41, 104-113 p.Article in journal (Refereed)
    Abstract [en]

    The contribution of this article is twofold. First, it presents an encoding approach for seamless bidirectional transitions between localist and distributed representation domains. Second, the approach is demonstrated on the example of using Vector Symbolic Architecture for solving a problem of finding common substrings. The proposed algorithm uses elementary operations on long binary vectors. For the case of two patterns with respective lengths L1 and L2 it requires Θ(L1 + L2 – 1) operations on binary vectors, which is equal to the suffix trees approach – the fastest algorithm for this problem. The simulation results show that in order to be robustly detected by the proposed approach the length of a common substring should be more than 4% of the longest pattern.

  • 22.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Vyatkin, Valeriy
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Intelligent Industrial Processes: Enabling research challenges by Dependable Communication and Computation2014Report (Other academic)
  • 23.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Patil, Sandeep
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Vyatkin, Valeriy
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Pang, Zhibo
    ABB AB, Corporate research.
    On Methodology of Implementing Distributed Function Block Applications using TinyOS WSN nodes2014In: Proceedings of 2014 IEEE 19th International Conference on Emerging Technologies & Factory Automation (ETFA 2014): Barcelona, Spain, 16-19 Sept. 2014, Piscataway, NJ: IEEE Communications Society, 2014, 7005107Conference paper (Refereed)
    Abstract [en]

    This paper presents a feasibility study of implementing parts of a distributed function block application as TinyOS modules running on Wireless Sensors as a part of Wireless Sensor Network. The paper first briefly describes underlying technologies and gives motivation for implementation of function blocks in TinyOS. The paper then presents implementation details about TinyOS realization of the one of the function block, which is a part of bigger distributed control application with the help of distributed function block application.

  • 24.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Brain-like classifier of temporal patterns2014In: International Conference on Computer and Information Sciences, ICCOINS 2014, Kuala Lumpur, Malaysia, June 03-05, 2014. Proceedings, Piscataway, NJ: IEEE Communications Society, 2014, 1-6 p.Conference paper (Refereed)
    Abstract [en]

    In this article we present a pattern classification system which uses Vector Symbolic Architecture (VSA) for representation, learning and subsequent classification of patterns, as a showcase we have used classification of vibration sensors measurements to vehicles types. On the quantitative side the proposed classifier requires only 1 kB of memory to classify an incoming signal against of several hundred of training samples. The classification operation into N types requires only 2*N+1 arithmetic operations this makes the proposed classifier feasible for implementation on a low-end sensor nodes. The main contribution of this article is the proposed methodology for representing temporal patterns with distributed representation and VSA-based classifier.

  • 25.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Lyamin, Nikita
    Halmstad University.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Modified algorithm of dynamic frequency hopping (DFH) in the IEEE 802.22 standard2014In: Multiple Access Communications: 7th International Workshop, MACOM 2014, Halmstad, Sweden, August 27-28, 2014. Proceedings / [ed] Magnus Jonsson; Alexey Vinel; Boris Bellalta; Evgeny Belyaev, New York: Encyclopedia of Global Archaeology/Springer Verlag, 2014, 75-83 p.Conference paper (Refereed)
    Abstract [en]

    IEEE 802.22 Cognitive Wireless Regional Area Networks is a first standard of wireless terrestrial system relying on cognitive radio concept and operating as an opportunistic system in the the vacant unoccupied frequency spaces of the licensed TV-frequency band. Concept of the proposed standard assumes special functionality to protect the operation of the primary licensed subscribers. Dynamic Frequency Hopping is the mechanism for providing connectionless operation of Wireless Regional Area Networks systems while ensuring protection of transmissions from the primary users. During its operation regular time gaps appear on the involved frequency channels. This paper introduces the concept of the efficient reuse of the vacant frequency resources appearing when using the Dynamic Frequency Hopping mode. The scheme for consecutive-parallel inclusion of the new Dynamic Frequency Hopping Communities-members in the Dynamic Frequency Hopping mode is presented. The proposed approach allows to significantly decrease transition time.

  • 26.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Khan, Asad
    Monash University, Melbourne, VIC.
    Amin, Anang Hudaya
    Holographic Graph Neuron2014In: International Conference on Computer and Information Sciences, IEEE Communications Society, 2014, 1-6 p.Conference paper (Refereed)
    Abstract [en]

    This article proposes the usage of Vector Symbolic Architectures for implementing Hierarchical Graph Neuron. The adoption of VSA representation maintains previously reported properties and performance characteristics of HGN and further makes it suitable for implementation in distributed wireless sensor networks of tiny devices.

  • 27.
    Dudin, Alexander
    et al.
    BSU.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Dudin, Sergey
    BSU.
    Schelén, Olov
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Socio-behavioral scheduling of time-frequency resources for modern mobile operators2013In: Modern Probabilistic Methods for Analysis of Telecommunication Networks: Belarusian Winter Workshops in Queueing Theory, BWWQT 2013, Minsk, Belarus, January 28-31, 2013. Proceedings, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2013, 69-82 p.Conference paper (Refereed)
    Abstract [en]

    This article presents a mathematical foundation for scheduling of batch data produced by mobile end users over the time-frequency resources provided by modern mobile operators. We model the mobile user behavior by Batch Markovian Arrival Process, where a state corresponds to a specific user data activity (i.e. sending a photo, writing a blog message, answering an e-mail etc). The state transition is marked by issuing a batch of data of the size typical to the activity. To model the changes of user behavior caused by the environment, we introduce a random environment which affects the intensities of transitions between states (i.e., the probabilities of the user data activities). The model can be used for calculating probability of packet loss and probability of exceeding the arbitrarily fixed value by the sojourn time of a packet in the system conditional that the packet arrives to the system at moments when the random environment has a given state. This allows to compute the realistic values of these probabilities and can help to properly fix their values that can be guaranteed, depending on the state of the random environment, by a service provider

  • 28.
    Wolosz, Krzysztof
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Bodin, Ulf
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Eliasson, Jens
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Cognitive load-control for congested Wireless Sensor Network channels2013In: 2013 IFIP Wireless Days (WD 2013: Valencia, Spain, 13-15 Nov 2013, Piscataway, NJ: IEEE Communications Society, 2013Conference paper (Refereed)
    Abstract [en]

    Modern wireless sensors transmit at high rates and changing transmission patterns. They may individually or collectively select how much data shall be sent depending on predefined rules tied to properties of measured data. Sending rates thereby change triggered by events appearing in the sensor environment. With wireless technologies such as 802.15.4 (ZigBee) having limited capacity high transmission needs can easily cause overload resulting in decreased throughput. This paper presents a load control mechanism that uses multiple inputs, demand for transmission capacity and perceived quality of each sensor node, to properly configure sending rates of these nodes. The mechanism is based on Fuzzy Logic and quality assessed with utility functions for packet loss and throughput. NS-3 simulation results show clear improvements in overall throughput at high loads with the mechanism compared to without.

  • 29.
    Riliskis, Laurynas
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Symphony - simulation, emulation and virtualization framework for accurate WSN experimentation2013In: ICSE 2013: proceedings of the 2013 International Conference on Software Engineering,, New York: ACM Digital Library, 2013, 1-6 p.Conference paper (Refereed)
    Abstract [en]

    We have developed a simulation framework for testing and validation of WSN applications which closely resembles processes happening inside real equipment including hardware and software induced delays. The core of the framework consists of a virtualized operating system and an emulated hardware platform integrated with a general purpose network simulator ns-3. Besides an ability of experimenting with the real code base as in the real deployments our framework allows testing the boundary effects of different hardware components on the performance of distributed applications and protocols. All in all the presented framework allows to substantially shorten the development cycle of WSN applications.

  • 30.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Educating Innovators of Future Internet of Things2013In: 2013 Frontiers in Education Conference (FIE 2013): Oklahoma City, Olöahoma, USA, 23-26 October 2013, Piscataway, NJ: IEEE Communications Society, 2013, 1352-1358 p.Conference paper (Refereed)
    Abstract [en]

    Clouds, Communicating Machines, Social Networking, Big Data, innovative web-services are the buzz words that currently ramp up the interest in computer science education amongst potential students. The current trend in CS education is to introduce an innovation component into the content of undergraduate and graduate courses facilitating out of the box thinking. In the fall of 2012 the content of three undergraduate courses running in parallel at Luleå University of Technology were aligned in the theoretical and practical parts projecting the individual contents to a holistic scenario of the Internet of Things. The practical goal of the trial was to provide skills of developing innovative, cutting-edge IT solutions. The trial courses were: Wireless sensor networks, Distributed applications, and Network programming. The first two courses are given on the fourth year while the later course is given on the second year of the CS program. The theoretical content of three courses allowed creating a scenario covering the whole technology chain of the Internet of Things: gathering and communicating sensory data; scalable and distributed processing of big data; value-added, human relevant network services. In the practical part students in the three courses (total 60) acted as start-up companies in the respective technology domain. These ``start-ups'' were assigned a task to deliver a common holistic system given time, performance and budget constrains. This task required students in a particular course to constantly communicate to other students outside the course's boundaries. Through these activities students were trained on skills for industrial level development and integration of complex IT systems. On a technical side all courses were conducted using Amazon Web Services as a common computing platform. This choice allowed us to draw interesting conclusions about students work load, the degree of their actual involvement in the learning process as well as economical costs. In the sensor network course a pedagogy-oriented, close-to-reality, real-time simulation environment was used to substantially facilitate experimentation with large quantities of communicating sensors. Using AWS as a platform for the other two courses gave students a possibility of experimenting with hundreds of servers while training the skills in developing commercial scale software. As a result of evaluations in the respective courses we conjecture that the goal of the trial is successfully achieved. The innovative component was highly valued by the majority of students. Most of the students confirmed that exposing them to the ``big picture'' and product-based learning substantially increased their involvement and motivation in the learning process. On the technical side several non-conventional applications of the theoretical content were observed in all three courses. One of the successful resulting systems featured a unique integration of real-time sensory data with a popular social network. The full article will describe the details of the courses' structure along with the associated logistical and technical challenges. We present the illustrative achievements as well as the analysis of students' feedback. The article will be concluded with the discussion of learned positive and negative lessons put in the context of recent theories in CS education.

  • 31.
    Riliskis, Laurynas
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Coexistence of Cloud Technology and IT Infrastructure in Higher Education2013In: 2013 Frontiers in Education Conference (FIE 2013): Oklahoma City, Olöahoma, USA, 23-26 October 2013, Piscataway, NJ: IEEE Communications Society, 2013, 805-807 p.Conference paper (Refereed)
    Abstract [en]

    Most of the current IT-infrastructures at Universities were designed and deployed at times of mostly campus based education, following the "one solution fits all" approach. Nowadays, with the growing number of courses given on distance and unique requirements on software content in almost every course in all disciplines the existing infrastructure became extremely stiff and inefficient. In many cases it fails providing flexible services with acceptable quality both to teachers and students. Another problem appears with the all growing mobility of students in the scope of Erasmus Mundus programme and numerous bilateral agreements between universities. The uncertainty in number of students to be handled in each semester (even in the scope of a particular course) makes it difficult for the IT departments to estimate the need and to correspondingly dimension the IT-system. Normally, IT administrations at universities over-dimension their infrastructures in order to stay competitive and provide satisfactory quality of experience. This obviously leads to an increased cost associated with purchasing and maintaining the equipment. Besides the economical component the environmental impact becomes one of the critical factors that universities have to deal with nowadays. Universities as governmental organizations need to take environmental considerations into account when implementing European Union policies on ICT sustainability. Cloud technology and specifically infrastructure as a service (IaaS) providers is an excellent alternative to an outdated inefficient local infrastructures. Early 2012 Luleå University of Technology started a project on adopting cloud technology for implementing the university's IT-infrastructure. This work-in-progress article will describe the results of its pre-study phase aiming at understanding a feasibility of integrating and/or migrating key infrastructure components into an IaaS system and opening ways for making university's resources more accessible to wider public. Numbers of logistical, technical and education related challenges, however, make such transition far from being trivial. This article focuses on the educational aspect of the pre-study. Specifically, work flows in education process of several courses in different disciplines in natural and engineering sciences were analysed from the student and teacher perspectives. In the article a schematic of a sustainable IT infrastructure adjusted to the needs of higher education will be drafted. Further, technical readiness and challenges of using cloud technology for university scale IT-infrastructure will be discussed.

  • 32.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Eldstål-Damlin, Albin
    Burakov, Michael
    Nordberg, Mats
    Ericsson.
    Wang, Min
    Ericsson.
    An improved model of LTE random access channel2013In: 2013 IEEE 77th Vehicular Technology Conference (VTC Spring 2013): 2-5 June 2013, Dresden, Germany, Piscataway, NJ: IEEE Communications Society, 2013Conference paper (Refereed)
    Abstract [en]

    In this article, we report on a mathematical model for the throughput and delay of LTE's Random Access Channel (RACH). The model is an improvement of a cell-level Markov model of Multichannel slotted ALOHA proposed previously in the literature. The improvements concern accounting for a possibility of contention resolution in the case when terminals select same preambles and distinguishing initially-transmitting nodes from retransmitting nodes. The improved model is verified and agrees with measurements obtained from a discrete-time event-based simulator of an LTE cell

  • 33.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kleyko, Denis
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Lyamin, Nikita
    Siberian State University of Telecommunications and Information Sciences.
    Packet-less medium access approach for dependable wireless event passing in highly noisy environments2012Report (Other academic)
    Abstract [en]

    In this article we propose the usage of binary spatter codes and distributed data representation for communicating loss and delay sensitive data in event-driven sensor and actuator networks. Using the proposed data representation technique along with the medium access control protocol the mission critical control information can be transmitted with constant delay in deployments exposing below 0 dB signal-to-noise ratio figures.

  • 34.
    Chaltseva, Anna
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    On passive characterization of aggregated traffic in wireless networks2012In: Wired/Wireless Internet Communication: 10th International Conference, WWIC 2012, Proceedings, New York: Encyclopedia of Global Archaeology/Springer Verlag, 2012, 282-289 p.Conference paper (Refereed)
    Abstract [en]

    We present a practical measurement-based characterization of the aggregated traffic on microseconds time scale in wireless networks. The model allows estimating the channel utilization for the period of time required to transmit data structures of different sizes (short control frames and a data packet of the maximum size). The presented model opens a possibility to mitigate the effect of interferences in the network by optimizing the communication parameters of the MAC layer (e.g. the size of contention window, retransmission strategy, etc.) for the forthcoming transmission. The article discusses issues and challenges associated with the PHY-layer characterization of the network state.

  • 35.
    Riliskis, Laurynas
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Berdajs, Jan
    University of Ljubljana, Faculty of Computer and Information Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Brodnik, Andrej
    University of Ljubljana, Faculty of Computer and Information Science.
    Reality considerations when designing a TDMA-FDMA based link-layer for real-time WSN2012In: Multiple Access Communications: 5th International Workshop, MACOM 2012, Maynooth, Ireland, November 19-20, 2012. Proceedings / [ed] Boris Bellalta, Encyclopedia of Global Archaeology/Springer Verlag, 2012, 93-96 p.Conference paper (Refereed)
    Abstract [en]

    In this article we elaborate on reality considerations when deploying wireless sensor networks with strict end-to-end delay requirement. Our improvements are particularly important for a design and implementation of strict real-time systems while at the same time we decrease overall power consumption. Firstly, we design and implement application tailored TDMA-FDMA medium access protocol with guaranteed end-to-end delay. Secondly, we integrate in the implementation of the protocol the bootstrapping mechanism and thirdly, the time synchronization mechanism. Next, we show that by combining medium access protocol, bootstrapping, and time synchronization mechanisms within the link-layer, we can limit on average clock drift in the network to 0.5 micro seconds, as well as achieve 81 % energy efficiency while keeping collision probability at its minimum of 1 %. Finally, we conclude with challenges and lessons learned in real-world deployment of TDMA/FDMA based link-layer with guaranteed end-to-end delay in wireless sensor networks.

  • 36.
    Kleyko, Denis
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Lyamin, Nikita
    Siberian State University of Telecommunications and Information Sciences.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Dependable MAC layer architecture based on holographic data representation using hyper-dimensional binary spatter codes2012In: Multiple Access Communications: 5th International Workshop, MACOM 2012, Maynooth, Ireland, November 19-20, 2012. Proceedings / [ed] Boris Bellalta, Heidelberg: Encyclopedia of Global Archaeology/Springer Verlag, 2012, 134-145 p.Conference paper (Refereed)
    Abstract [en]

    In this article we propose the usage of binary spatter codes and distributed data representation for communicating loss and delay sensitive data in event-driven sensor and actuator networks. Using the proposed data representation technique along with the medium access control protocol the mission critical control information can be transmitted with assured constant delay in deployments exposing below 0 dB signal-to-noise ratio figures.

  • 37.
    Chaltseva, Anna
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    On passive characterization of aggregated traffic in wireless networks2011Report (Other academic)
    Abstract [en]

    We present a practical measurement-based model of aggregated traffic intensity on microseconds time scale for wireless networks. The model allows estimating the traffic intensity for the period of time required to transmit data structures of different size (short control frames and a data packet of the maximum size). The presented model opens a possibility to mitigate the effect of interferences in the network by optimizing the communication parameters of the MAC layer (e.g. size of contention window, retransmission strategy, etc.) for the forthcoming transmission to minimize the packet collision probability and further increase network's capacity. We also discuss issues and challenges associated with PHY-layer characterization of the network state.

  • 38.
    Birk, Wolfgang
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Hostettler, Roland
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Lundberg Nordenvaad, Magnus
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Eliasson, Jens
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Gylling, Arne
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Delsing, Jerker
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Mäkitaavola, Henrik
    Project: iRoad2011Other (Other (popular science, discussion, etc.))
  • 39.
    Riliskis, Laurynas
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hostettler, Roland
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
    Mäkitaavola, Henrik
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Birk, Wolfgang
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Eliasson, Jens
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Enabling remote controlled road surface networks for enhanced ITS2011Conference paper (Refereed)
    Abstract [en]

    Intelligent Transportation Systems (ITS) will, in the future, play a key role to improve transportation efficiency and safety. However, cost-benefit of deploying traditional ITS is retarded by expensive equipment, infrastructure, installation and maintenance. The demo presents a replica of a real world experimental ITS application using recently proposed Road Surface Network architecture. The demonstrated "intelligent roundabout'' application is intended to warn and inform drivers about an upcoming roundabout and to prevent driving straight into collision. We show a lab prototype system consisting of: an authentic sensor node platform enabled for car detection, secure multihop communications and the running light application, a base station with system control center.

  • 40.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    On synthesis of dependable MAC protocol for two real-world WSN applications2011In: 2011 Baltic Congress on Future Internet Communications (BCFIC Riga), IEEE Communications Society, 2011, 41-49 p.Conference paper (Refereed)
    Abstract [en]

    Currently, when matter comes to engineer a communication system for a new WSN application with a unique set of dependability requirements, the developer should undergo a lengthy process of analyzing the existing solutions in order to select appropriate functionality. In this article we argue that because of variety of wireless sensor network applications there is a clear need for a systematic approach to develop application-tailored communication solutions. The core of this methodology constitute functional components with known reliability and security properties and the rules of combining these components in a communication system. On the example of engineering MAC protocol for two real world applications, we demonstrate a line of dependable reasoning and identify components satisfying the dependability requirements of the application.

  • 41.
    Khattak, Rabiullah
    et al.
    Luleå tekniska universitet.
    Chaltseva, Anna
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Bodin, Ulf
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Comparison of wireless network simulators with multihop wireless network testbed in corridor environment2011In: Wired/wireless internet communications: 9th IFIP TC 6 International Conference, WWIC 2011, Vilanova i la Geltrú, Spain, June 15-17, 2011 ; proceedings / [ed] Xavier Masip-Bruin, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2011, 80-91 p.Conference paper (Refereed)
    Abstract [en]

    This paper presents a comparative study between results of a single channel multihop wireless network testbed and the network simulators ns-2 and ns-3. We explore how well these simulators reflect reality with their standard empirical radio modeling capabilities. The environment studied is a corridor causing wave-guiding propagation phenomena of radio waves, which challenges the radio models used in the simulators. We find that simulations are roughly matching with testbed results for single flows, but clearly deviate from testbed results for concurrent flows. The mismatch between simulations and testbed results is due to imperfect wireless propagation channel modeling. This paper reveals the importance of validating simulation results when studying single channel multihop wireless network performance. It further emphasizes the need for validation when using empirical radio modeling for more complex environments such as corridors.

  • 42.
    Brogle, Marc (Editor)
    University of Bern.
    Osipov, Evgeny (Editor)
    Braun, Torsten (Editor)
    University of Bern.
    Heijenk, Geert (Editor)
    University of Twente.
    Fourth ERCIM workshop on e-mobility2010Report (Other academic)
    Abstract [en]

    ERCIM, the European Research Consortium for Informatics and Mathematics, aims to foster collaborative work within the European research community and to increase co-operation with European industry. In the ERCIM eMobility workshop, current progress and future developments in the area of eMobility should be discussed and the existing gap between theory and application closed. This volume contains all accepted papers of the fourth eMobility workshop, which has been held in Luleå, Sweden, on May 31, 2009. Papers from different areas have been selected for this workshop. The contributions discuss several topics of the ERCIM eMobility working group including, testbeds for mobile networks, performance optimization for cellular networks, QoS in V2B communication, reliability in ad-hoc networks, distributed resource discovery and use, traffic generation models for wireless networks, IMS clients, ICT support for mobility, VANETs, and mobile video conferencing.At this point, we want to thank all authors of the submitted papers and the members of the international program committee for their contribution to the success of the event and the high quality program. The proceedings are divided into two sections, full papers and short papers. While the latter present work in progress and ongoing research, the full papers have been carefully selected in a peer review process. The reviewers evaluated all papers and sent the authors the comments on their work.The invited talks featured presentations of different European research projects: ELVIRE presented by Marc Brogle, EU-Mesh presented by Vasilios Siris, Frederica presented by Kurt Baumann, GINSENG presented by Marilia Curado, Socrates presented by Hans van den Berg, Winemo presented by Yevgeni Koucheryavy, and Wisebed presented by Torsten Braun.Luleå University of Technology is the northernmost university of technology in Scandinavia and with world-class research and education. Its strength lies in its cooperation with companies and with the rest of the world around it. Contacts with companies and society help to develop research and education that satisfy the demands that the world around makes on the university and its students. Luleå University of Technology conducts research in the Faculty of engineering and the Faculty of arts and social sciences. Research at the University has an annual turnover of EUR 70 million and comprises 70 research subjects in 6 research profiles and 6 development profiles. The research is characterized by multidisciplinary cooperation between the University's research departments and close interaction with trade and industry and society. Both major international and national companies and small enterprises in the region are involved in the University's research and development projects. The companies also cooperate in the University's research centers. Torsten Braun, Marc Brogle, Geert Heijenk, Evgeny Osipov

  • 43.
    Chaltseva, Anna
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Empirical cross-layer model of TCP throughput in multihop wireless chain2010Report (Other academic)
    Abstract [en]

    Analysis of TCP throughput in multihop wireless networks is a continuously important research topic. Yet a neat and practically useful formula for the TCP transfer rate similar to the macroscopic model of TCP in the Internet, however, capturing the cross-layer dependencies is unavailable for wireless networks. In this paper we statistically analyze the significance of parameters on physical, MAC and transport layers in a multihop wireless chains and derive a practically usable cross-layer throughput formula. The resulting model allows estimation of the throughput with less than 2% error.

  • 44.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Specification and analysis of dependable networking mechanisms for the WSAN4CIP application scenarios2010Report (Other academic)
    Abstract [en]

    This document presents the requirements analysis, specification and preliminary evaluation of the WSAN4CIP dependable protocol stack. The protocol stack considers the following four layers: Application, Transport, Routing and MAC. At the Transport layer, the Distributed Transport for Sensor Networks (DTSN) was selected to support reliable multimedia data transmission. At the Routing layer, the IPv6 Routing Protocol for Low power and Lossy Networks was selected due to its low overhead. At the MAC layer, a multichannel TDMA protocol was selected.Protocol evaluation is based on a mix of analytical studies and computer simulation. The results show that the specified protocols are compliant with the requirements of the EDP and FWA demonstrators defined in D1.1.

  • 45.
    Osipov, Evgeny
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Kassler, AndreasKarlstads Universitet.Bohnert, Thomas MichaelCEC Zurich.Masip-Bruin, XavierUniversitat Politècnica de Catalunya.
    Wired/Wireless Internet Communications 8th International Conference, WWIC 2010: Luleå, Sweden, June 1-3, 2010. Proceedings2010Collection (editor) (Other academic)
  • 46.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Aktivitet: International Conference on Wired/Wireless Internet Communications2010Other (Other (popular science, discussion, etc.))
  • 47.
    Chaltseva, Anna
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Empirical predictor of TCP throughput on a multihop wireless path2010In: Smart spaces and next generation Wired/Wireless networking: third Conference on Smart Spaces, ruSMART 2010, and 10th international conference, NEW2AN 2010, St. Petersburg, Russia, August 23-25, 2010 ; proceedings / [ed] Sergey Balandin; Roman Dunaytsev; Yevgeni Koucheryavy, Encyclopedia of Global Archaeology/Springer Verlag, 2010, 323-334 p.Conference paper (Refereed)
    Abstract [en]

    This paper addresses a question of predicting TCP throughput over a multihop wireless path. Since it is useful for a variety of applications it is desirable that TCP throughput prediction technique introduces low-overhead while avoiding active measurement techniques. Analytical derivation of the throughput predictor for multihop wireless networks is difficult if not impossible at all due to complex cross-layer dependencies. In this article we statistically analyze the significance of parameters on physical, MAC and transport layers in a multihop wireless chain and empirically derive a practically usable throughput predictor. The resulting model allows prediction of the throughput with less than 2% error.

  • 48.
    Birk, Wolfgang
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Eliasson, Jens
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Lindgren, Per
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Road surface networks technology enablers for enhanced ITS2010In: 2010 IEEE Vehicular Networking Conference, VNC 2010: Jersey City, NJ ; 13-15 Dec 2010, Piscataway, NJ: IEEE Communications Society, 2010, 152-159 p.Conference paper (Refereed)
    Abstract [en]

    The increased need for mobility has led to transportation problems like congestion, accidents and pollution. In order to provide safe and efficient transport systems great efforts are currently being put into developing Intelligent Transport Systems (ITS) and cooperative systems. In this paper we extend proposed solutions with autonomous on-road sensors and actuators forming a wireless Road Surface Network (RSN). We present the RSN architecture and design methodology and demonstrate its applicability to queue-end detection. For the use case we discuss the requirements and technological solutions to sensor technology, data processing and communication. In particular the MAC protocol is detailed and its performance assessed through theoretical verification. The RSN architecture is shown to offer a scalable solution, where increased node density offers more precise sensing as well as increased redundancy for safety critical applications. The use-case demonstrates that RSN solutions may be deployed as standalone systems potentially integrated into current and future ITS. RSN may provide both easily deployable and cost effective alternatives to traditional ITS (with a direct impact independent of penetration rate of other ITS infrastructures - i.e., smart vehicles, safe spots etc.) as well as provide fine grain sensory information directly from the road surface to back-end and cooperative systems, thus enabling a wide range of ITS applications beyond current state of the art.

  • 49.
    Riliskis, Laurynas
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Maróti, Miklós
    Bolyai Institute, University of Szeged.
    TOS-NS3: a framework for emulating wireless sensor networks in the ns3 network simulator2010Conference paper (Other academic)
  • 50.
    Buttyan, Levente
    et al.
    BME.
    Acs, Gergely
    BME.
    Schaffer, Peter
    BME.
    Farkas, Karoly
    BME.
    Bencsath, Boldizsar
    BME.
    Thong, Ta Vinh
    BME.
    Laszka, Aron
    BME.
    Grilo, Antonio
    INOV.
    Hessler, Alban
    NEC.
    Riliskis, Laurynas
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Osipov, Evgeny
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Perito, Daniele
    INRIA.
    Castelluccia, Claude
    INRIA.
    Dependability concepts, models, and analysis of networking mechanisms for WSANs2009Report (Other academic)
    Abstract [en]

    In this deliverable, we report on the results of Work Package 3 (Dependable Networking) obtained in the first year of the WSAN4CIP Project. These results are related to the identification of the design principles of dependable networking mechanisms for WSANs. In our work, and hence, in this deliverable, we follow the layered model of networking protocol stacks: We identify the most important dependability concepts and models at the physical, MAC (Medium Access Control), routing, and transport layers, and we analyze existing networking protocols from the different layers proposed in the literature with respect to the identified dependability properties.

12 1 - 50 of 76
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