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2012 13th International Workshop on Cellular Nanoscale Networks and their Applications最新文献

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Synchronization in cellular spin torque oscillator arrays 细胞自旋转矩振荡器阵列的同步
A. Horváth, F. Corinto, G. Csaba, W. Porod, T. Roska
Spin torque nanodevices could provide a platform for computation beyond Moore's law. The network of spin oscillators can have only local, cellular interconnections because of the underlying physics: the interaction between the oscillators happens through the magnetic field. In this paper we describe the dynamics of weakly coupled spin-torque oscillator networks and how the dynamics of these cellular arrays can be used for problem solving. We will describe how the phase shift in a synchronized array can be calculated between the elements and we will also show a simple example how the dynamics of a cellular array can be used to solve simple tasks.
自旋扭矩纳米器件可以提供一个超越摩尔定律的计算平台。自旋振子网络只能有局部的、细胞的互连,因为基本的物理原理:振子之间的相互作用是通过磁场发生的。在本文中,我们描述了弱耦合自旋转矩振荡器网络的动力学,以及这些细胞阵列的动力学如何用于解决问题。我们将描述同步阵列中的相移如何在元素之间计算,我们还将展示一个简单的例子,如何使用蜂窝阵列的动力学来解决简单的任务。
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引用次数: 21
Two neuron CNN for hypothesis testing 两个神经元CNN用于假设检验
M. Vinyoles-Serra, X. Vilasís-Cardona
The two neuron continues time cellular neural network is used to define a statistic in the classical hypothesis testing problem. The proposal is based on a generalisation of the linear Fisher discriminant. The procedure to set the cellular neural network parameters is described and the performance shown on two examples with gaussianly distributed hypothesis. This technique might also be applied to probabilistic classification problems or pattern recognition.
在经典的假设检验问题中,采用双神经元连续时间细胞神经网络来定义统计量。该建议是基于线性费雪判别式的推广。描述了细胞神经网络参数的设置过程,并通过两个高斯分布假设的例子说明了其性能。这种技术也可以应用于概率分类问题或模式识别。
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引用次数: 1
Sound propagation cellular processors architectures, comparisons and performances 声音传播蜂窝式处理器的结构、比较和性能
R. Dogaru, I. Dogaru, N. Zamfir, D. Aiordachioaie
The aim of this paper is to discuss and compare several architectural possibilities for implementing a simulator for (ultra) sound propagation in a controlled environment (e.g. using specified obstacles and signal sources). Although initially such sound propagation simulators were designed to assist the design of robotic "ears" of autonomous agents trying to reconstruct an image of the environment, its use expands beyond its initial goals. We are particularly interested here to define the limits and the constraints for kilo-processor architectures capable to implement such systems at reasonable costs. Our results for various implementations (software, FPGA, GPU/with CUDA) are considered with some proposals for suitable kilo-processor architectures.
本文的目的是讨论和比较在受控环境中实现(超)声传播模拟器的几种架构可能性(例如,使用指定的障碍物和信号源)。虽然最初这样的声音传播模拟器是为了帮助设计机器人“耳朵”的自主代理试图重建环境的图像,它的用途超出了最初的目标。在这里,我们特别感兴趣的是定义能够以合理的成本实现这种系统的千处理器体系结构的限制和约束。我们对各种实现(软件、FPGA、GPU/ CUDA)的结果进行了考虑,并提出了一些适合千处理器架构的建议。
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引用次数: 3
Airborne navigation with onboard InfraRed Sensors 机载红外传感器的机载导航
G. Colombi, A. Ondini, L. Fortunato, G. Balzarotti
Infrared Sensors are widely used nowadays on Aircrafts (rotary and fixed wing) to help pilot's activities. The infrared information of the surrounding area are used mainly for two different purposes: Navigation and Search & Track-While-Scan. Navigation functions, commonly identified with the name of Imaging Modes, are devoted to aid pilots in conjunction with advanced human machine interfaces such as Head Up Display (HUD) and Helmet Mounted Display (HMD). The availability of IR images generated from airborne opto-electronics equipment can support the pilot during navigation in adverse weather conditions, providing important information about external threats (i.e. obstacles), otherwise not detectable by human eye. Search & Track-While-Scan, is a functionality related to surveillance. It includes combination of automatic detection and tracking functions within a wide search volume. These features are typically executed in automatic way and generate the position of possible threats present in the flight path. In general Search & Track-While-Scan outputs are not displayed together with the IR image because the main purpose is to provide the estimated positions of the detected targets; nevertheless, if the Imaging Modes and Tracking capabilities are operated simultaneously in an integrated framework, the overall scenario representation can be improved and the situation awareness increased. This paper will focus on the airborne navigation by means of Infrared Sensors by considering the benefits but also possible limits and areas of improvements.
红外传感器目前广泛应用于飞机(旋翼和固定翼),以帮助飞行员的活动。周围区域的红外信息主要用于两种不同的目的:导航和搜索&跟踪扫描。导航功能,通常被称为成像模式,致力于帮助飞行员与先进的人机界面,如平视显示器(HUD)和头盔显示器(HMD)相结合。机载光电设备产生的红外图像的可用性可以在恶劣天气条件下支持飞行员导航,提供关于外部威胁(即障碍物)的重要信息,否则人眼无法检测到。搜索和跟踪扫描,是一个功能相关的监视。它包括自动检测和跟踪功能的组合,在一个广泛的搜索量。这些特征通常以自动方式执行,并生成飞行路径中可能存在的威胁的位置。一般来说,搜索和跟踪扫描输出不与红外图像一起显示,因为主要目的是提供被检测目标的估计位置;然而,如果成像模式和跟踪功能在一个集成框架中同时运行,则可以改进整体场景表示并增加态势感知。本文将重点讨论利用红外传感器进行机载导航的优点,以及可能存在的局限性和改进的领域。
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引用次数: 1
Memristor emulator with off-the-shelf solid state components for memristor application circuits 忆阻器模拟器与现成的固态元件忆阻器应用电路
Changju Yang, M. P. Sah, Ki-Sang Jung, Seongik Cho, Hyongsuk Kim
A memristor emulator circuit which is designed with off-the-shelf solid state components is presented. As the memristors are not commercially available so far, some circuit replacements which behave like memristors are needed to develop application circuits. In this paper, the variable resistance of a memristor is built utilizing the input resistance of the closed loop circuit of an OP amp. The memristor emulator circuit has been implemented on breadboard with off-the-shelf solid state components. The experimental results of the proposed memristor emulator circuit show a memristor behavior that can be utilized as an alternative of hp TiO2 memristor model.
介绍了一种用现成的固态元件设计的忆阻器仿真电路。由于忆阻器目前尚未商品化,因此需要一些具有忆阻器性能的电路替代品来开发应用电路。本文利用运算放大器闭环电路的输入电阻来构建忆阻器的可变电阻,并利用现成的固态元件在面包板上实现了忆阻器仿真电路。实验结果表明,所提出的忆阻器仿真电路具有忆阻性能,可以作为hp - TiO2忆阻器模型的替代方案。
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引用次数: 6
Neuronal spike event generation by memristors 记忆电阻器产生神经元尖峰事件
Sangho Shin, D. Sacchetto, Yusuf Leblebici, S. Kang
New memristors-based neuronal spike event generator is introduced. By using the dynamic properties of conditional resistance switching of a practical bistable memristive device, the neuronal action potential is generated describing both the integrate-and-fire spiking events and the long enough refractory period of nerve membrane cells. The memristor offers the dual time-constants which model the unbalanced charging and discharging periods of the spike signals. With a Pt/TiO2/Pt memristive device having the ROFF/RON resistance ratio of 3000, the memristor-based spike generator offers spike trains with about 0.03% duty.
介绍了一种基于记忆电阻器的神经元脉冲事件发生器。利用实际双稳态记忆器件条件电阻开关的动态特性,生成了既描述了神经膜细胞的积分-放电尖峰事件又描述了神经膜细胞足够长的不应期的神经元动作电位。忆阻器提供了双时间常数来模拟尖峰信号的不平衡充放电周期。采用ROFF/RON电阻比为3000的Pt/TiO2/Pt忆阻器件,基于忆阻器的尖峰发生器提供约0.03%负载的尖峰串。
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引用次数: 8
Selector devices for cross-point ReRAM 交叉点ReRAM的选择器设备
Seonghyun Kim, Wootae Lee, H. Hwang
Both varistor-type bidirectional selector (VBS) and ultrathin NbO2 device with threshold switching (TS) characteristics were investigated. A highly non-linear VBS showed superior performances including high current density (>;3×107A/cm2) and high selectivity (~104). Ultrathin NbO2 exhibits excellent TS characteristics such as high temperature stability (~160oC), good switching uniformity, and extreme scalability.
对压敏型双向选择器(VBS)和具有阈值开关(TS)特性的超薄NbO2器件进行了研究。高度非线性的VBS具有高电流密度(>;3×107A/cm2)和高选择性(~104)的优异性能。超薄NbO2具有优异的TS特性,如高温稳定性(~160℃),良好的开关均匀性和极高的可扩展性。
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引用次数: 12
Demonstration of the Second Generation Real-Time Cellular Neural Network Processor: RTCNNP-v2 第二代实时细胞神经网络处理器RTCNNP-v2的演示
N. Yildiz, E. Cesur, V. Tavsanoglu
This proceeding is compiled from our previous works, where architecture of the Second-Generation Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v2) was proposed. The system is designed for applications where high-resolution and high-speed is desired. The structure is fully-pipelined and the processing is real-time. Proposed structure is coded in VHDL and realized on two FPGA devices: one high-end and one low-budget. The system is the only reported CNN implementation supporting real-time Full-HD video image processing, to date.
本程序编译自我们之前的工作,其中提出了第二代实时细胞神经网络(CNN)处理器(RTCNNP-v2)的架构。该系统专为高分辨率和高速应用而设计。结构是全流水线的,处理是实时的。提出的结构用VHDL编码,并在两个FPGA器件上实现:一个高端和一个低预算。该系统是迄今为止唯一报道的支持实时全高清视频图像处理的CNN实现。
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引用次数: 6
CNN cell with memcapacitive synapses and threshold control circuit 具有记忆电容突触和阈值控制电路的CNN细胞
J. Flak
This paper presents a concept of a solid-state memcapacitor based on a combination of memristor and capacitor, as well as its applications to cellular nanoscale networks. In addition to ultra-dense memories, memcapacitors can also be used for synaptic connections and threshold control in arrays with capacitively coupled processing units. In principle, the proposed CNN cell structure implements the basic McCulloch-Pitts neuron model. Although the cell relies on the binary programmability scheme with single-bit template coefficients, the proposed memcapacitive synapses allow for asynchronous processing of tasks, for which the traditional cloning templates contain both positive and negative values.
本文提出了一种基于忆阻器和电容相结合的固态记忆电容的概念,以及其在细胞纳米网络中的应用。除了超密集存储器,memcapacitors也可用于突触连接和阈值控制与电容耦合处理单元阵列。原则上,本文提出的CNN细胞结构实现了基本的McCulloch-Pitts神经元模型。尽管细胞依赖于具有单位模板系数的二进制可编程性方案,但所提出的记忆电容突触允许异步处理任务,而传统的克隆模板包含正负值。
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引用次数: 3
Image representation by means of CNN dynamics 基于CNN动态的图像表示
Tang Tang, R. Tetzlaff
By taking advantage of their nonlinear dynamics Cellular Nonlinear Networks (CNN) are considered to be powerful tools for many image processing applications. In this paper we will try to investigate the feasibility of image representation by using CNN dynamics.
细胞非线性网络(CNN)利用其非线性动力学特性,被认为是许多图像处理应用的强大工具。在本文中,我们将尝试通过使用CNN动态来研究图像表示的可行性。
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引用次数: 1
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2012 13th International Workshop on Cellular Nanoscale Networks and their Applications
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