| 1. |
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| 2. |
- Abdukalikova, Anara, et al.
(författare)
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Detection of Atrial Fibrillation from Short ECGs : Minimalistic Complexity Analysis for Feature-Based Classifiers
- 2018
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Ingår i: Computing in Cardiology 2018. - : IEEE.
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Konferensbidrag (refereegranskat)abstract
- In order to facilitate data-driven solutions for early detection of atrial fibrillation (AF), the 2017 CinC conference challenge was devoted to automatic AF classification based on short ECG recordings. The proposed solutions concentrated on maximizing the classifiers F 1 score, whereas the complexity of the classifiers was not considered. However, we argue that this must be addressed as complexity places restrictions on the applicability of inexpensive devices for AF monitoring outside hospitals. Therefore, this study investigates the feasibility of complexity reduction by analyzing one of the solutions presented for the challenge.
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| 3. |
- Alonso, Pedro, 1986-, et al.
(författare)
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HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics
- 2021
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Ingår i: 2021 International Joint Conference on Neural Networks (IJCNN) Proceedings. - : IEEE.
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Konferensbidrag (refereegranskat)abstract
- Recent advances in Deep Learning have led to a significant performance increase on several NLP tasks, however, the models become more and more computationally demanding. Therefore, this paper tackles the domain of computationally efficient algorithms for NLP tasks. In particular, it investigates distributed representations of n -gram statistics of texts. The representations are formed using hyperdimensional computing enabled embedding. These representations then serve as features, which are used as input to standard classifiers. We investigate the applicability of the embedding on one large and three small standard datasets for classification tasks using nine classifiers. The embedding achieved on par F1 scores while decreasing the time and memory requirements by several times compared to the conventional n -gram statistics, e.g., for one of the classifiers on a small dataset, the memory reduction was 6.18 times; while train and test speed-ups were 4.62 and 3.84 times, respectively. For many classifiers on the large dataset, memory reduction was ca. 100 times and train and test speed-ups were over 100 times. Importantly, the usage of distributed representations formed via hyperdimensional computing allows dissecting strict dependency between the dimensionality of the representation and n-gram size, thus, opening a room for tradeoffs.
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| 4. |
- Bandaragoda, Tharindu, et al.
(författare)
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Trajectory clustering of road traffic in urban environments using incremental machine learning in combination with hyperdimensional computing
- 2019
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Ingår i: The 2019 IEEE Intelligent Transportation Systems Conference - ITSC. - : IEEE. - 9781538670248 - 9781538670255 ; , s. 1664-1670
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Konferensbidrag (refereegranskat)abstract
- Road traffic congestion in urban environments poses an increasingly complex challenge of detection, profiling and prediction. Although public policy promotes transport alternatives and new infrastructure, traffic congestion is highly prevalent and continues to be the lead cause for numerous social, economic and environmental issues. Although a significant volume of research has been reported on road traffic prediction, profiling of traffic has received much less attention. In this paper we address two key problems in traffic profiling by proposing a novel unsupervised incremental learning approach for road traffic congestion detection and profiling, dynamically over time. This approach uses (a) hyperdimensional computing to enable capture variable-length trajectories of commuter trips represented as vehicular movement across intersections, and (b) transforms these into feature vectors that can be incrementally learned over time by the Incremental Knowledge Acquiring Self-Learning (IKASL) algorithm. The proposed approach was tested and evaluated on a dataset consisting of approximately 190 million vehicular movement records obtained from 1,400 Bluetooth identifiers placed at the intersections of the arterial road network in the State of Victoria, Australia.
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| 5. |
- Birk, Wolfgang, et al.
(författare)
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iRoad - cooperative road infrastructure systems for driver support
- 2009
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Ingår i: 16th World Congress and Exhibition on Intelligent Transport Systems 2009. - Red Hook : Curran Associates, Inc.. - 9781617385896
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Konferensbidrag (refereegranskat)abstract
- This paper discusses the design and implementation of a cooperative road infrastructure systems, which uses an intelligent road surface. Using an overtaking assist feature as an example it is shown how such a feature can be designed and implemented on a road infrastructure and integrated with drivers and passengers using IMS. The feasibility of this feature is assessed from a functional and communication perspective. Moreover, first results from real-life tests on the Swedish highway E4 are presented which motivate the next research and development steps.
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| 6. |
- Birk, Wolfgang, et al.
(författare)
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Modular design and performance ranking of communication protocols
- 2009
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In this deliverable we present a systematic approach towards designing modularized protocols and rank a contribution of their components to the overall system performance. In the nutshell, this approach is based onthree steps: 1.) identifying adjustable parameters in existing protocols, 2.) ranking their influence on the system-level performance metrics and 3.) defining protocol modules exposing the parameters of the highest rank. To this end we present the definition of the components for constructing MAC protocols based on ranking of the impact of adjustable parameters on the overall system performance. We also overview a ranking method for functional blocks of protocols on the routing layer.
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| 7. |
- Birk, Wolfgang, et al.
(författare)
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On the design of cooperative road infrastructure systems
- 2008
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Ingår i: Reglermöte 2008. - Luleå : Luleå tekniska universitet.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- This paper discusses the design of cooperative road infrastructure systems for infrastructure-based driving support functions. The background of such systems is mapped out and it is shown that there is a need for a cross disciplinary approach. Using an example of a support function, namely the overtaking support, it is shown that such a system is feasible. The different challenges and technological problems that are identified are given and the future work is indicated.
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| 8. |
- Birk, Wolfgang, et al.
(författare)
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Project: iRoad
- 2011
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Annan publikation (populärvet., debatt m.m.)
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| 9. |
- Birk, Wolfgang, et al.
(författare)
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Road surface networks technology enablers for enhanced ITS
- 2010
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Ingår i: 2010 IEEE Vehicular Networking Conference, VNC 2010. - Piscataway, NJ : IEEE Communications Society. - 9781424495269 ; , s. 152-159
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 10. |
- Buttyan, Levente, et al.
(författare)
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Dependability concepts, models, and analysis of networking mechanisms for WSANs
- 2009
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- 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.
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