This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremen...
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The ASIC implementation of a 6464 sized mixedsignal Cellular Visual Microprocessor architecture with digital processors is described. Measurement results are shown. The architecture is composed of a regular photosenso...
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The ASIC implementation of a 64times64 sized mixed-signal cellular visual microprocessor architecture with digital processors is described. Measurement results are shown. The architecture is composed of a regular phot...
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The ASIC implementation of a 64times64 sized mixed-signal cellular visual microprocessor architecture with digital processors is described. Measurement results are shown. The architecture is composed of a regular photosensor readout circuit array, prepared for 3D sensor integration, an array of identical SIMD processing elements, and central program scheduler. The processing architecture supports cluster formation of differently parameterized arrays.
The ASIC implementation of a digital cellular visual microprocessor architecture is introduced. The processor array is constructed of simple, locally interconnected 8 bit microprocessors, operating in an extended SIMD...
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The ASIC implementation of a digital cellular visual microprocessor architecture is introduced. The processor array is constructed of simple, locally interconnected 8 bit microprocessors, operating in an extended SIMD mode. The processor array can be equipped with on-chip photo diode array, using 3D integration technology
The visual navigation system of a UAV is a complex embedded device designed to modify the path of the platform depending on objects or events detected on the ground. In the visual field of the autopilot these events c...
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The visual navigation system of a UAV is a complex embedded device designed to modify the path of the platform depending on objects or events detected on the ground. In the visual field of the autopilot these events could be formalized as specific space-time signatures. Processing all pixels captured by the on-board camera(s) in real time with high frame rate needs huge computational effort that is often unnecessary. An adequate computational strategy would focus on the interesting locations only as in the visual system of various species. In this article we describe an automatic focusing mechanism relying on optical flow calculation for detecting moving objects on the ground, thus efficiently separating the motion of interest from ego-motion of the platform.
The CNN literature contains several papers about how to use the genetic algorithms for template tuning. This paper shows a possible CNN-UM implementation of the control algorithm of the genetic algorithm in a special ...
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The CNN literature contains several papers about how to use the genetic algorithms for template tuning. This paper shows a possible CNN-UM implementation of the control algorithm of the genetic algorithm in a special fine-grained parallel version. The interesting of the analogic mapping is the different set of operators, which can be evaluated fast and efficient on the CNN-UM platform. The rational behind the spatial implementation is the possibility of focal-plane optimization
A multitarget tracking framework implemented on the Bi-i platform is presented. The demonstration applications include a target tracking system with laser actuation, an attention-selection algorithm and a laser dot de...
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A multitarget tracking framework implemented on the Bi-i platform is presented. The demonstration applications include a target tracking system with laser actuation, an attention-selection algorithm and a laser dot detection system with gaming applications [4]
In the original CNN paradigm template values are defined as constants but several complex tasks can be efficiently solved by using nonlinear weights between the CNN cells. Unfortunately programmable nonlinear weights ...
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In the original CNN paradigm template values are defined as constants but several complex tasks can be efficiently solved by using nonlinear weights between the CNN cells. Unfortunately programmable nonlinear weights can not be implemented by using present day analog VLSI technology. In this paper a new emulated digital CNN-UM architecture will be presented which makes it possible to use zero and first order nonlinear templates during emulation. The new architecture is based on the Falcon emulated digital CNN-UM architecture and implemented on FPGAs. The computing precision of the architecture is configurable and the area/speed/accuracy tradeoffs are investigated
In this paper the implementation of an embedded GAPU (global analogic programming unit) on the reconfigurable emulated digital CNN-UM architecture will be presented. It has been extended by a Xilinx MicroBlaze soft pr...
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In this paper the implementation of an embedded GAPU (global analogic programming unit) on the reconfigurable emulated digital CNN-UM architecture will be presented. It has been extended by a Xilinx MicroBlaze soft processor core to take full advantage of the joint computing power of high speed distributed arithmetics and programmability. The basic guidelines are presented considering the design of embedded GAPU with special regards to speed, programming flexibility and minimal additional cost in area
Solution of partial differential equations (PDE) has long been one of the most important fields of mathematics. Several previous studies proved the effectiveness of the CNN-UM solution for partial differential equatio...
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Solution of partial differential equations (PDE) has long been one of the most important fields of mathematics. Several previous studies proved the effectiveness of the CNN-UM solution for partial differential equations in two dimensions. This paper works with the 3D acoustic wave equation which describes the pressure wave propagation in fluid medium. This three-dimensional PDE can be solved also with 3D CNN-UM and multilayer 2D CNN-UM architecture. Unfortunately the huge number of space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analogue CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to implement our solution
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