Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331453
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.
{"title":"Synchronization in cellular spin torque oscillator arrays","authors":"A. Horváth, F. Corinto, G. Csaba, W. Porod, T. Roska","doi":"10.1109/CNNA.2012.6331453","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331453","url":null,"abstract":"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.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114276240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331424
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.
{"title":"Two neuron CNN for hypothesis testing","authors":"M. Vinyoles-Serra, X. Vilasís-Cardona","doi":"10.1109/CNNA.2012.6331424","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331424","url":null,"abstract":"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.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115708403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331461
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.
{"title":"Sound propagation cellular processors architectures, comparisons and performances","authors":"R. Dogaru, I. Dogaru, N. Zamfir, D. Aiordachioaie","doi":"10.1109/CNNA.2012.6331461","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331461","url":null,"abstract":"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.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122184294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331477
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.
{"title":"Airborne navigation with onboard InfraRed Sensors","authors":"G. Colombi, A. Ondini, L. Fortunato, G. Balzarotti","doi":"10.1109/CNNA.2012.6331477","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331477","url":null,"abstract":"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.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116593173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331432
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.
{"title":"Memristor emulator with off-the-shelf solid state components for memristor application circuits","authors":"Changju Yang, M. P. Sah, Ki-Sang Jung, Seongik Cho, Hyongsuk Kim","doi":"10.1109/CNNA.2012.6331432","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331432","url":null,"abstract":"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.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129569766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331427
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.
{"title":"Neuronal spike event generation by memristors","authors":"Sangho Shin, D. Sacchetto, Yusuf Leblebici, S. Kang","doi":"10.1109/CNNA.2012.6331427","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331427","url":null,"abstract":"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.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127944422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331466
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.
{"title":"Selector devices for cross-point ReRAM","authors":"Seonghyun Kim, Wootae Lee, H. Hwang","doi":"10.1109/CNNA.2012.6331466","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331466","url":null,"abstract":"Both varistor-type bidirectional selector (VBS) and ultrathin NbO<sub>2</sub> device with threshold switching (TS) characteristics were investigated. A highly non-linear VBS showed superior performances including high current density (>;3×10<sup>7</sup>A/cm<sup>2</sup>) and high selectivity (~10<sup>4</sup>). Ultrathin NbO<sub>2</sub> exhibits excellent TS characteristics such as high temperature stability (~160<sup>o</sup>C), good switching uniformity, and extreme scalability.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122715028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331471
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.
{"title":"Demonstration of the Second Generation Real-Time Cellular Neural Network Processor: RTCNNP-v2","authors":"N. Yildiz, E. Cesur, V. Tavsanoglu","doi":"10.1109/CNNA.2012.6331471","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331471","url":null,"abstract":"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.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124124938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331414
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.
{"title":"CNN cell with memcapacitive synapses and threshold control circuit","authors":"J. Flak","doi":"10.1109/CNNA.2012.6331414","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331414","url":null,"abstract":"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.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129495848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-18DOI: 10.1109/CNNA.2012.6331407
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.
{"title":"Image representation by means of CNN dynamics","authors":"Tang Tang, R. Tetzlaff","doi":"10.1109/CNNA.2012.6331407","DOIUrl":"https://doi.org/10.1109/CNNA.2012.6331407","url":null,"abstract":"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.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116313383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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