| 1. |
- Bengtsson, Lars, 1958-, et al.
(författare)
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REMAP massively parallel computer platform for neural computations
- 1997
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Ingår i: Proceedings of the Third International Conference on Microelectronics for Neural Networks (MicroNeuro’93). ; , s. 47-62
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Konferensbidrag (refereegranskat)abstract
- The REMAP project addresses questions related to the use of massively parallel, distributed computing in embedded systems. Of specific interest is the execution of artificial neural network algorithms on multiple, cooperating processor arrays. This paper concentrates on the recently finished, and currently used, processor array prototype, REMAP-β, of SIMD (Single Instruction stream, Multiple Data streams) type. The architecture and implementation of the computer is described, both its overall structure and its constituent parts. Following this comes a discussion of its use as an architecture laboratory, which stems from the fact that it is implemented using FPGA (Field Programmable Gate Array) circuits. As an architecture laboratory the prototype can be used to implement and evaluate, e.g., various Processing Element (PE) designs. A couple of examples of PE architectures, including one with floating-point support, are given. The mapping of important neural network algorithms on processor arrays of this kind is shown, and possible tuning of the architecture to meet specific processing demands is discussed. Performance figures are given as well as implications for future VLSI implementations of the array.
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| 2. |
- Kruusmaa, Maarja, et al.
(författare)
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A low-risk approach to mobile robot path planning
- 1998
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Ingår i: Lecture Notes in Computer Science. - Heidelberg : Springer Berlin/Heidelberg. - 0302-9743 .- 1611-3349. ; 1416, s. 132-141
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a self-organizing approach for mobile robot path planning problems in dynamic environments by using case-based reasoning together with a more conventional method of grid-map based path planning. The map-based path planner is used to suggest new innovative solutions for a particular path planning problem. The case-base is used to store the paths and evaluate their traversability. While planning the route those paths are preferred which, according to former experience, are least risky. As the environment changes, the exploration as well as the evaluation of the paths will allow the system to self-organize by forming a set of low-risk paths that are safest to follow. The experiments in a simulated environment show that the robot is able to adapt in a dynamic environment and learns to use the least risky paths. © Springer-Verlag Berlin Heidelberg 1998.
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| 3. |
- Taveniku, Mikael, et al.
(författare)
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A multiple SIMD mesh architecture for multi-channel radar processing
- 1996
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Ingår i: Proceedings of: ICSPAT'96, international conference on signal processing applications & technology, Boston MA, USA, October 7-10. - : Miller Freeman. ; , s. 1421-1427
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Konferensbidrag (refereegranskat)abstract
- In modern and future radar applications there are high demands on the signal processing chain in terms of computational power and generality. At the same time, there are hard size and power consumption constraints. This paper reports on a project whose aim is to find a good scalable computer architecture that is flexible, programmable and as general-purpose as possible without too much performance loss.The proposed architecture consists of multiple SIMD computing modules, each based on a number of small mesh arrays. The modules are fully programmable and work globally as a MIMD machine and locally as SIMD machines. The data network is modular and provides both high bandwidth capacity and fast response. It has a fiber-optic stars topology, and employs time and wavelength division multiplexing, together with a medium access method specially developed for real-time systems.In this paper, we use a radar system with 64 processing channels to illustrate the algorithms and the usage of the processor modules. We show that it is possible to use a machine, consisting of small mesh processor arrays forming larger modules, with good efficiency. The building blocks show good balance between computational power and I/O bandwidth, and the SIMD approach seems good from algorithm-mapping point of view.
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| 4. |
- Wickström, Nicholas, 1970-, et al.
(författare)
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Neural Virtual Sensors — Estimation of Combustion Quality in SI Engines using the Spark Plug
- 1998
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Ingår i: ICANN 98. - London : Springer. - 9783540762638 - 9781447115991 ; , s. 215-220
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Konferensbidrag (refereegranskat)abstract
- We propose two virtual sensors which estimate the location of the pressure peak and the air-fuel ratio from measurements of the ionization current across the spark plug gap.The location of pressure peak virtual sensor produces estimates on a cycle-by-cycle basis for each of the cylinders. These estimates are twice as good as estimates obtained from a linear model.The air-fuel ratio virtual sensor uses the universal exhaust gas oxygen sensor as reference; it produces estimates that are ten times better than estimates obtained from a linear model.
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