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1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)最新文献

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Fast Fourier transform computation using a digital CNN simulator 快速傅里叶变换计算使用数字CNN模拟器
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685372
M. Perko, I. Fajfar, T. Tuma, J. Puhan
{"title":"Fast Fourier transform computation using a digital CNN simulator","authors":"M. Perko, I. Fajfar, T. Tuma, J. Puhan","doi":"10.1109/CNNA.1998.685372","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685372","url":null,"abstract":"We explore the advantages of more general topology of cellular neural network (CNN) arrays, where cell neighbourhood is defined from the functional, rather than topological, point of view. In this way it is possible to build many new applications, thus extending possibilities of CNN. To illustrate this, we have chosen a fast Fourier transform algorithm, which can be successfully used in many applications. Both fast Fourier and inverse fast Fourier transform (FFT and IFFT) can easily be built using our digital CNN simulator proposed. In contrast to direct Fourier transform, as proposed for CNN by Moreira-Tamayo et al. (1996), FFT is far more economical. This paper also clarifies some computational techniques of the proposed digital CNN simulator and focuses on its timing and accuracy aspects.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"3 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114211716","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}
引用次数: 7
Spatio-temporal CNN algorithm for object segmentation and object recognition 用于目标分割和目标识别的时空CNN算法
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685400
Abraham Schultz, Csaba Rekeczky, I. Szatmári, T. Roska, L. O. Chua
{"title":"Spatio-temporal CNN algorithm for object segmentation and object recognition","authors":"Abraham Schultz, Csaba Rekeczky, I. Szatmári, T. Roska, L. O. Chua","doi":"10.1109/CNNA.1998.685400","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685400","url":null,"abstract":"In this paper a spatio-temporal analogic cellular neural network (CNN) algorithm is designed for front-end filtering, segmentation and object recognition. First, a generalized segmentation strategy is presented based on various diffusion models. Both PDE and non-PDE related schemes are discussed and their VLSI complexity is analyzed. In classification (object recognition) a CNN implementation of the autowave metric, a \"nonlinear\" variant of the Hausdorff metric, is used. This approach turned out to be superior compared to some other classification methods. A number of tests have been completed within the so-called \"bubble/debris\" segmentation experiments using original and artificial gray-scale images.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124515467","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}
引用次数: 12
Towards nanoelectronics: possible CNN implementations using nanoelectronic devices 走向纳米电子学:使用纳米电子器件的可能的CNN实现
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685323
W. Porod
{"title":"Towards nanoelectronics: possible CNN implementations using nanoelectronic devices","authors":"W. Porod","doi":"10.1109/CNNA.1998.685323","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685323","url":null,"abstract":"We discuss novel nanoelectronic architecture paradigms based on cells composed of coupled quantum-dots. Boolean logic functions may be implemented in specific arrays of cells representing binary information, the so-called quantum-dot cellular automata (QCA). Cells may also be viewed as carrying analog information and we outline a network-theoretic description of such quantum-dot nonlinear networks (Q-CNN). In addition, we discuss possible realizations of these structures in a variety of semiconductor systems, rings of metallic tunnel junctions, and candidates for molecular implementations.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123057789","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}
引用次数: 13
An active vision retina for virtual reality and telepresence using biologically-motivated neuromorphic CNN 使用生物驱动神经形态CNN的虚拟现实和远程呈现的主动视觉视网膜
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685364
A. Jacobs, F. Werblin
{"title":"An active vision retina for virtual reality and telepresence using biologically-motivated neuromorphic CNN","authors":"A. Jacobs, F. Werblin","doi":"10.1109/CNNA.1998.685364","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685364","url":null,"abstract":"We have developed a CNN-based low bandwidth visual telepresence simulation which may be thought of as consisting of two parts, a retina-inspired encoder (attached to a camera at the distant site), and a decoder, a sort of inverse retina, attached to the user's display. The encoder carries out many transformations analogous to those in the actual retina, for instance, discarding information about absolute intensities, unchanging areas of the image, and spatial resolution in the visual scene's periphery. Our goal was to strictly constrain the bandwidth of the channel between encoder and decoder (while freely making use of the potentially enormous computational capacity of CNN) and we demonstrate the feasibility of a useful system using less than 30Kbit/s (telephone-line) bandwidth. A back channel provides the encoder with information about what the user is looking at, making this an active vision system-a first approximation to a true extension of the user's eye.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"3 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121785271","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}
引用次数: 0
Data security issues, cryptographic protection methods, and the use of cellular neural networks and cellular automata 数据安全问题，加密保护方法，以及细胞神经网络和细胞自动机的使用
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685326
J. Vandewalle, B. Preneel, M. Csapodi
{"title":"Data security issues, cryptographic protection methods, and the use of cellular neural networks and cellular automata","authors":"J. Vandewalle, B. Preneel, M. Csapodi","doi":"10.1109/CNNA.1998.685326","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685326","url":null,"abstract":"The goal of this contribution is threefold: (1) to review the basic needs for information security in our modern society; (2) to show how these needs can be satisfied using cryptographic methods (this is basically a review of the state of the art of cryptography); and (3) to study the potentials of cellular automata (CA) and cellular neural networks (CNN) for implementing these cryptographic protection methods. It is clear that the main advantages of CA and CNN technology are the intrinsic speed and the narrow link between the CNN hardware and the medium (still or moving images).","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122647136","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}
引用次数: 6
Combining image sensing and Gabor-type filtering in analog VLSI 模拟VLSI中图像传感与gabor滤波的结合
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685374
B. Shi
{"title":"Combining image sensing and Gabor-type filtering in analog VLSI","authors":"B. Shi","doi":"10.1109/CNNA.1998.685374","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685374","url":null,"abstract":"We describe the design, implementation and test results from an analog CMOS VLSI cellular neural network chip which integrates photosensing and an image filtering operation similar to Gabor-filtering. The design reported senses a one-dimensional 27 pixel input image focused onto the chip and generates three outputs at every pixel: the input image intensity, the real part of the filter output, and the imaginary part of the filter output. Test results indicate that the chip functions as expected.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"424 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122862477","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}
引用次数: 6
Retinal architecture in CNN CNN的视网膜结构
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685321
F. Werblin
{"title":"Retinal architecture in CNN","authors":"F. Werblin","doi":"10.1109/CNNA.1998.685321","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685321","url":null,"abstract":"There is a remarkable and compelling similarity between the architecture of the retina and that of cellular neural nets (CNN): Both are massively parallel analog array processors where the strength and form of connections between neighboring elements determines the characteristics of the image processing operation. This close relationship allows us to transfer algorithms from one platform (retinal wetware) to the other (analogic software). The full complement of retinal algorithms, organized in separate interactive sheets of activity, for a complete retinal subroutine that operates in real time. Retinal algorithms can be modified in a variety of ways to form \"what if\" functions that are testable in the physiological preparation. These algorithms can also be implemented in CNN then applied to real-world problems. The author describes here some of his recent advances in implementing retinal function in CNN.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123950837","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}
引用次数: 0
License plate recognition using DTCNNs 基于DTCNNs的车牌识别
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685366
M. ter Brugge, J. H. Stevens, J. Nijhuis, L. Spaanenburg
{"title":"License plate recognition using DTCNNs","authors":"M. ter Brugge, J. H. Stevens, J. Nijhuis, L. Spaanenburg","doi":"10.1109/CNNA.1998.685366","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685366","url":null,"abstract":"Automatic license plate recognition requires a series of complex image processing steps. For practical use, the amount of data to be processed must be minimized at early stage. This paper shows that the computationally most intensive steps can be realized by discrete time cellular neural networks (DTCNNs). Moreover, high-level operations like 'finding the license plate in the image' and 'finding the characters on the plate' need only a small number of DTCNNs. Real-life tests show that the DTCNNs are capable of correctly identifying more than 85% out of all license plates while leaving only 0.5% of the original information to be inspected for actual recognition.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124290781","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}
引用次数: 95
A new time-multiplexed interconnected architecture with buffering system for multi-chip CNN 一种带缓冲系统的多芯片CNN时复用互连新架构
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685409
M. Salerno, F. Sargeni, V. Bonaiuto
{"title":"A new time-multiplexed interconnected architecture with buffering system for multi-chip CNN","authors":"M. Salerno, F. Sargeni, V. Bonaiuto","doi":"10.1109/CNNA.1998.685409","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685409","url":null,"abstract":"Real-time image processing represents an application field where cellular neural networks best show their powerful capabilities because of the full parallel analogue processing feature. For this purpose, the best performances can be carried out with a one-to-one correspondence between the image pixel and the neural cells. Consequently, this leads to the need to build very large CNN chips. In spite of this, these requirements do not agree with the need of the hardware manufacturer to design small chips, which are more reliable from a VLSI implementation point of view. Among the previously proposed solutions to this leading problem, the authors presented a current-mode interconnection-oriented approach able to carry out wide CNN networks making use of small chips. In the paper a technique to improve the interconnection architecture without any lack of functionality is presented.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129624333","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}
引用次数: 0
Mixed logic and analog implementation of large neighbourhood cloning templates for CNNs cnn大邻域克隆模板的混合逻辑和模拟实现
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685387
R. Akbari-Dilmaghani
{"title":"Mixed logic and analog implementation of large neighbourhood cloning templates for CNNs","authors":"R. Akbari-Dilmaghani","doi":"10.1109/CNNA.1998.685387","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685387","url":null,"abstract":"An approach to the implementation of large neighbourhood (r>1) cloning templates in cellular neural networks (CNNs) is presented while the number of interconnections and the circuit complexity are preserved at a level which is practical for existing VLSI technology. The proposed method employs mixed pass transistors logic and analog circuitry to implement r>1 CNNs. Simulation results are presented to confirm the viability of the proposed methods.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127051976","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}
引用次数: 2
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