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Sökning: LAR1:lu > Konferensbidrag > Spaanenburg Lambert > (2007)

  • Resultat 1-8 av 8
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1.
  • Fang, Wen Hai, et al. (författare)
  • Power-driven FPGA to ASIC conversion
  • 2007
  • Ingår i: Proceedings of SPIE, the International Society for Optical Engineering. - SPIE. - 0277786X. - 978-081946718-8 ; 6590
  • Konferensbidrag (refereegranskat)abstract
    • Gate arrays are often presented as a convenient means for ASIC prototyping. Obviously, they can both perform the same function and therefore be built from the same behavioral description. Design development implies a process of subsequent parameter bindings, leaving steadily less freedom for the remaining implementation choices. On the other hand, the ASIC offers more place & route freedom than the gate array. Hence it is commonly suggested that an optimal prototype will always have an acceptable ASIC realization. But this does not make the gate array an easy stepping-stone in ASIC development. Differences in platform technology induce a different structural sugaring to achieve a reasonable implementation. This cannot easily be ported, unless the implementation is developed while keeping the restrictions for the other technology in mind. Such implies a number of scaling rules to be the foundation of the design transformation process. This paper looks into the platform commonalities of Field-Programmable Gate-arrays and standard-cell ASICs from fundamental physical principles. These basic considerations are then related to show how the area and speed restrictions in the logic synthesis can be applied to carry power efficient designs efficiently from prototype to realization. This is illustrated in the design of the SNOW-2 encryption core, where a consistent 38% power reduction is achieved.
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2.
  • Malki, Suleyman, et al. (författare)
  • Bit-Serial Approach Moves DT-CNN into Real-Time
  • 2007
  • Ingår i: Proceedings SSoCC2007.
  • Konferensbidrag (refereegranskat)abstract
    • The Cellular Neural Network provides an interesting template for non-linear signal processing. It is essentially based on 2nd-order (reaction / diffusion) differential equations. Harrer and Nossek have introduced the discrete-time equivalent that paves the ground for digital implementation. The interconnect requirements seem to have made it impossible to realistically implement this model. More than emulation is not possible for a network based on word-serial communication. In this paper, it is discussed that a bit-serial communication scheme brings a more realistic implementation. Furthermore, using also bit-serial techniques within each node permits to decrease the footprint and therefore makes a 2-level network for the direct implementation of reaction / diffusion mechanism possible.
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  • Malki, Suleyman, et al. (författare)
  • Efficiency considerations for DT-CNN hardware
  • 2007
  • Ingår i: Proceedings MWSCAS NEWCAS. - IEEE conference proceedings. ; s. 189-192
  • Konferensbidrag (refereegranskat)abstract
    • Cellular Neural Networks have become a popular paradigm for modeling nonlinear systems. First-hand implementations are in software on floating-point platforms for pure performance, while programmable analog circuitry has been tested for embedded low-power applications. The paper discusses gradual algorithmic and structural improvements that bring efficient digital hardware into consideration. This provides 32-bits floating-point accuracy on a block-scaled 12-bits fixed-point platform.
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5.
  • Malki, Suleyman, et al. (författare)
  • Hand Veins Feature Extraction using DT-CNNs
  • 2007
  • Ingår i: Proceedings of SPIE, the International Society for Optical Engineering. - SPIE. ; 6590
  • Konferensbidrag (refereegranskat)abstract
    • As the identification process is based on the unique patterns of the users, biometrics technologies are expected to provide highly secure authentication systems. The existing systems using fingerprints or retina patterns are, however, very vulnerable. One’s fingerprints are accessible as soon as the person touches a surface, while a high resolution camera easily captures the retina pattern. Thus, both patterns can easily be “stolen” and forged. Beside, technical considerations decrease the usability for these methods. Due to the direct contact with the finger, the sensor gets dirty, which decreases the authentication success ratio. Aligning the eye with a camera to capture the retina pattern gives uncomfortable feeling. On the other hand, vein patterns of either a palm of the hand or a single finger offer stable, unique and repeatable biometrics features. A fingerprint-based identification system using Cellular Neural Networks has already been proposed by Gao. His system covers all stages of a typical fingerprint verification procedure from Image Preprocessing to Feature Matching. This paper performs a critical review of the individual algorithmic steps. Notably, the operation of False Feature Elimination is applied only once instead of 3 times. Furthermore, the number of iterations is limited to 1 for all used templates. Hence, the computational need of the feedback contribution is removed. Consequently the computational effort is drastically reduced without a notable chance in quality. This allows a full integration of the detection mechanism. The system is prototyped on a Xilinx Virtex II Pro P30 FPGA.
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6.
  • Malki, Suleyman, et al. (författare)
  • Veins feature extraction using DT-CNNS - art. no. 65900N
  • 2007
  • Ingår i: VLSI Circuits and Systems III. - SPIE--The International Society for Optical Engineering. - 0277-786X. ; 6590, s. N5900-N5900
  • Konferensbidrag (refereegranskat)abstract
    • As the identification process is based on the unique patterns of the users, biometrics technologies are expected to provide highly secure authentication systems. The existing systems using fingerprints or retina patterns are, however, very vulnerable. One's fingerprints are accessible as soon as the person touches a surface, while a high resolution camera easily captures the retina pattern. Thus, both patterns can easily be "stolen" and forged. Beside, technical considerations decrease the usability for these methods. Due to the direct contact with the finger, the sensor gets dirty, which decreases the authentication success ratio. Aligning the eye with a camera to capture the retina pattern gives uncomfortable feeling. On the other hand, vein patterns of either a palm of the hand or a single finger offer stable, unique and repeatable biometrics features. A fingerprint-based identification system using Cellular Neural Networks has already been proposed by Gao. His system covers all stages of a typical fingerprint verification procedure from Image Preprocessing to Feature Matching. This paper performs a critical review of the individual algorithmic steps. Notably, the operation of False Feature Elimination is applied only once instead of 3 times. Furthermore, the number of iterations is limited to I for all used templates. Hence, the computational need of the feedback contribution is removed. Consequently the computational effort is drastically reduced without a notable chance in quality. This allows a full integration of the detection mechanism. The system is prototyped on a Xilinx Virtex II Pro P30 FPGA.
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7.
  • Spaanenburg, Lambert (författare)
  • Early detection of abnormal emergent behaviour
  • 2007
  • Ingår i: Proceedings European Signal Processing Conference. - Eusipco. ; s. 1741-1744
  • Konferensbidrag (refereegranskat)abstract
    • Emergent behaviour has become a plague of automation systems based on communication networks. Centralized monitoring of the network comes generally to late to sup-press unwanted behaviour. It is required to mark the ten-dency towards state changes in a decentralized manner. The paper discusses the role of local awareness by inspection of the model learning behaviour of feed-forward networks. The correlated movement of weight changes over time provides a clear indication of such profound changes, as demonstrated by some initial experience in industrial automation.
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  • Resultat 1-8 av 8
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refereegranskat (8)
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Malki, Suleyman (5)
Grosspietsch, Erwin (2)
Klöckner, Konrad (2)
Wang, C. (1)
Yang, X. (1)
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Fang, Wen Hai (1)
Peset Llopis, Rafael (1)
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