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2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)最新文献

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2D and 3D level-set algorithms on GPU 基于GPU的2D和3D水平集算法
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430314
G. Tornai, G. Cserey
{"title":"2D and 3D level-set algorithms on GPU","authors":"G. Tornai, G. Cserey","doi":"10.1109/CNNA.2010.5430314","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430314","url":null,"abstract":"Locating object boundaries, modeling shapes is still an interesting and important task in many applications such as computer vision, object detection, image segmentation and tracking. In this paper we show the implementation of 2D and 3D algorithms based on the level sets using the advantages residing in today's common GPUs. One main goal of this paper is to contribute a development and give one new local-parallel implementation of a fast level set based algorithm via the locally organized processing elements and memory. This algorithm can model and detect any object with arbitrary complex shape and can be applied to situations where no or very few a priori information is available. Our accelerated implementation can handle more initial curves and surfaces which can fuse or merge according to the requirements. This might be a good base to achieve fast and robust detection, segmentation or tracking in medical or autonomous tasks.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"2904 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127449128","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
Threshold of complexity in 2D binary Cellular Automata found through Polynomial CNNs 利用多项式cnn求二维二元元胞自动机的复杂度阈值
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430277
G. E. Pazienza, E. Gómez-Ramírez
{"title":"Threshold of complexity in 2D binary Cellular Automata found through Polynomial CNNs","authors":"G. E. Pazienza, E. Gómez-Ramírez","doi":"10.1109/CNNA.2010.5430277","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430277","url":null,"abstract":"The theoretical studies about the relationship between Cellular Nonlinear Networks (CNNs) and Cellular Automata (CA) have led to the definition of new concepts, such as the complexity index and the threshold of complexity, for 1D CA. However, their interpretation in 2D CA has not been investigated yet. In this paper, we show that Polynomial CNNs can provide a deep insight into 2D binary CA and allow us to introduce a rigorous definition of complexity index. Among other results, we prove that the threshold of complexity in 2D CA is the same as in 1D CA and that the well-known Game of Life is the simplest universal 2D binary Cellular Automaton.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127537263","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
Periodicity enhancement of two-mode stochastic oscillators in a CNN type architecture CNN型结构中双模随机振子的周期性增强
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430275
Gabriell Máté, E. Horvath, E. Káptalan, A. Tunyagi, Z. Néda, T. Roska
{"title":"Periodicity enhancement of two-mode stochastic oscillators in a CNN type architecture","authors":"Gabriell Máté, E. Horvath, E. Káptalan, A. Tunyagi, Z. Néda, T. Roska","doi":"10.1109/CNNA.2010.5430275","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430275","url":null,"abstract":"Two-mode stochastic oscillators coupled through a simple optimization dynamics exhibit interesting and novel collective behavior. Previous studies have shown that for a global coupling, apart of synchronization, a puzzling enhancement in the periodicity level of the global output can be achieved. Here we show that a locally coupled system which resembles a CNN-type architecture of the elementary units, is similarly able to exhibit synchronization for a given parameter range. Moreover, the resulting enhancement in the periodicity for a 2D lattice topology of the oscillatory units proves again to be significant. The system composed by non-perfect oscillators generates thus a perfectly periodic signal. An experimental realization of the system gives confidence in the numerical simulation results.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122315547","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: 1
CBAS: A CNN-based biometrics authentication system CBAS:基于cnn的生物识别认证系统
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430267
S. Malki, L. Spaanenburg
{"title":"CBAS: A CNN-based biometrics authentication system","authors":"S. Malki, L. Spaanenburg","doi":"10.1109/CNNA.2010.5430267","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430267","url":null,"abstract":"Biometric identification is an important security application that requires non-intrusive capture and real-time processing. Security systems based on fingerprints and retina patterns have been widely developed, but can be easily falsified. Recently, identification by vein patterns has been practiced as a promising alternative. The paper presents a CNN-based system, realized on an FPGA that is able to perform all three recognition methods. The focus is on the vein recognition algorithm whose detection quality is sufficient for person identification but scalable for authentication.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128054255","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: 4
Simulation of three-dimensional supersonic flow on IBM Cell processor based emulated digital Cellular Neural Networks 基于仿真数字细胞神经网络的IBM Cell处理器上三维超声速流动仿真
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430315
László Füredi, Z. Nagy
{"title":"Simulation of three-dimensional supersonic flow on IBM Cell processor based emulated digital Cellular Neural Networks","authors":"László Füredi, Z. Nagy","doi":"10.1109/CNNA.2010.5430315","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430315","url":null,"abstract":"The IBM Cell Broadband Engine (Cell BE or informally Cell) heterogeneous multi-core architecture provides high computing performance however its efficient programming is a challenging task. The IBM Cell architecture can be very efficiently used to emulate Cellular Neural Network (CNN) dynamics. Using a similar approach during the simulation of two-dimensional supersonic flows significant speedup was achieved compared to conventional multi-core architectures. To solve real life flow problems three-dimensional mesh is required for the simulation. In the paper the implementation possibilities of a three-dimensional supersonic flow simulator on Body Fitted Mesh geometry on the Cell is described. Significantly more local memory is required to generate the three-dimensional neighborhood of the grid points compared to the two-dimensional case. In the paper different partitioning methods will be described and compared in terms of computing performance, local memory and bandwidth requirements.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130293566","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
Hardware annealing on DT-CNN using CAM2 利用CAM2对DT-CNN进行硬件退火
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430328
T. Fujita, K. Sakomizu, T. Ogura
{"title":"Hardware annealing on DT-CNN using CAM2","authors":"T. Fujita, K. Sakomizu, T. Ogura","doi":"10.1109/CNNA.2010.5430328","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430328","url":null,"abstract":"This is a feasibility study of the implementation of discrete time cellular neural network (DT-CNN) annealing on Cellular AutoMata on Content Addressable Memory (CAM2). CAM2 is a dedicated hardware for cellular automata (CA) and DT-CNN. We propose an annealing method on DT-CNN to solve quadratic assignment problems. This method uses the noise generated by chaotic behavior of class 3 CA. Since CA can be implemented on CAM2 easily, our proposed method is suitable for hardware implementation. In this paper we evaluate the performance of the hardware annealing. Our experimental results show the network with the CA noise tends to one particular solution under some condition. We also evaluate how the hardware restrictions of CAM2 affect on the annealing performance. In spite of the hardware restrictions, our experimental results show the hardware annealing can be performed on the existent implementation of the CAM2.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131604067","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
Dynamical patterns in spatially extended quantum-CNN 空间扩展量子cnn的动态模式
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430309
A. Buscarino, L. Fortuna, M. Frasca, A. S. Fiore
{"title":"Dynamical patterns in spatially extended quantum-CNN","authors":"A. Buscarino, L. Fortuna, M. Frasca, A. S. Fiore","doi":"10.1109/CNNA.2010.5430309","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430309","url":null,"abstract":"In this paper, we aim to merge the concept of quantum computing with the paradigm of Cellular Nonlinear Network (CNN) in order to show if and when spatial dynamical complex behaviors can emerge from the interaction of spatially extended quantum cells constituting a quantum cellular nonlinear network (Q-CNN).","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131185090","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: 1
Generalized maximum-flow solution based on CNN circuit analysis 基于CNN电路分析的广义最大流解
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430325
M. Sato, M. Tanaka
{"title":"Generalized maximum-flow solution based on CNN circuit analysis","authors":"M. Sato, M. Tanaka","doi":"10.1109/CNNA.2010.5430325","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430325","url":null,"abstract":"In our previous research, the Maximum-Flow Neural Network (MF-NN) was proposed, and we showed that the MF-NN is possible to solve any maximum-flow problems. However, the MF-NN has problems of convergence of sigmoidal function. In this research, we propose novel MF-NN using piecewise linear function for improving those problems. Moreover, this novel method is possible to considerably reduce a calculation cost.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130753084","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
Computation of discrete Fréchet distance using CNN 用CNN计算离散帧间距离
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430251
Sook Yoon, H. Yoo, Sanghoon Yang, D. Park
{"title":"Computation of discrete Fréchet distance using CNN","authors":"Sook Yoon, H. Yoo, Sanghoon Yang, D. Park","doi":"10.1109/CNNA.2010.5430251","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430251","url":null,"abstract":"The discrete Frechet distance basically measures the similarity of two curves considering their paths as well as distances of all discrete points on two curves. The present algorithms to compute the discrete Frechet distance between two curves have very high computational complexity. In order to reduce its computational burden, we propose a CNN architecture to compute the discrete Frechet Distance, employing the parallel processing capability of CNN consisting of an array of locally-coupled cells and each cell as a dynamical system. This paper presents the proposed CNN structure and its required cell coupling laws. The performance of the proposed system is verified through simulations.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133278202","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: 5
CNN computational abilities of large infrared proximity arrays 大型红外近距离阵列的CNN计算能力
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430307
M. Koller, G. Cserey
{"title":"CNN computational abilities of large infrared proximity arrays","authors":"M. Koller, G. Cserey","doi":"10.1109/CNNA.2010.5430307","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430307","url":null,"abstract":"In this paper we introduce a new hardware-software system, which applies some special modification on the original local connection attributes. The cells of this device has reflective type infrared distance sensors, each cell containing a LED and a phototransistor. The mapped surface can be not only the input of the computational system, but can form the local weights of the connections of adjacent cells. In this way, the locally adapted weightening is accomplished by the reflectance feature, which feature can modify the light of the neighboring cells. It has an important meaning: the physical environment take a part (and probably the control) of the processing. With this method, instead of using \"distance image\" as an input only, we can achieve more complex processing.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114529831","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: 4
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