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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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Application of mismatched Cellular Nonlinear Networks for Physical Cryptography 错配元胞非线性网络在物理密码学中的应用
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430303
G. Csaba, X. Ju, Zhiqian Ma, Qingqing Chen, W. Porod, J. Schmidhuber, Ulf Schlichtmann, P. Lugli, U. Ruhrmair
{"title":"Application of mismatched Cellular Nonlinear Networks for Physical Cryptography","authors":"G. Csaba, X. Ju, Zhiqian Ma, Qingqing Chen, W. Porod, J. Schmidhuber, Ulf Schlichtmann, P. Lugli, U. Ruhrmair","doi":"10.1109/CNNA.2010.5430303","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430303","url":null,"abstract":"This paper proposes the use of Cellular Non-Linear Networks (CNNs) as physical uncloneable functions (PUFs). We argue that analog circuits offer higher security than existing digital PUFs and that the CNN paradigm allows us to build large, unclonable, and scalable analog PUFs, which still show a stable and repeatable input-output behavior. CNNs are dynamical arrays of locally-interconnected cells, with a cell dynamics that depends upon the interconnection strengths to their neighbors. They can be designed to evolve in time according to partial differential equations. If this If this equation describes a physical phenomenon, then the CNN can simulate a complex physical system on-chip. This can be exploited to create electrical PUFs with high relevant structural information content. To illustrate our paradigm at work, we design a circuit that directly emulates nonlinear wave propagation phenomena in a random media. It effectively translates the complexity of optical PUFs into electrical circuits.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"1 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":"114969996","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: 37
Practical micro/nano fabrication implementations of memristive devices 忆阻器件的微/纳米实用制造实现
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430323
T. Prodromakis, K. Michelakis, C. Toumazou
{"title":"Practical micro/nano fabrication implementations of memristive devices","authors":"T. Prodromakis, K. Michelakis, C. Toumazou","doi":"10.1109/CNNA.2010.5430323","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430323","url":null,"abstract":"The recent discovery of the memristor has marked a new era for the advancement of neuromorphic applications and particularly the development of neurally-inspired processing architectures in silicon. An adults brain is a highly complex system and is estimated to contain from 1014 to 5×1014 synapses. On the other hand, the memristor is a delicate device requiring robust and reproducible fabrication methods. This paper assesses practical ways with which memristive devices can be fabricated, providing an experimental platform for studying systems with inherent neuromorphic responses.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"12 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":"116005916","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: 16
Advanced crosswalk detection for the Bionic Eyeglass 先进的人行横道检测仿生眼镜
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430281
M. Radványi, B. Varga, K. Karacs
{"title":"Advanced crosswalk detection for the Bionic Eyeglass","authors":"M. Radványi, B. Varga, K. Karacs","doi":"10.1109/CNNA.2010.5430281","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430281","url":null,"abstract":"One of the functions of the Bionic Eyeglass, a mobile navigation and orientation device, is to inform blind and visually impaired individuals whether a pedestrian crosswalk is located in front of them. In this paper, we present an improved algorithm to detect and recognize pedestrian crosswalks by using enhanced color preprocessing through mean shift segmentation. Detection of crosswalks is carried out by a partially adaptive CNN algorithm that also considers the perspective distortion of the objects to be detected. Using the new segmentation method we get much better estimations for the road surface area, which results in better overall recognition rates.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"1 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":"128753242","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: 16
Cellular wave computing of fluxons and breathons 通量和呼吸的细胞波计算
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430255
A. Slavova
{"title":"Cellular wave computing of fluxons and breathons","authors":"A. Slavova","doi":"10.1109/CNNA.2010.5430255","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430255","url":null,"abstract":"In this paper we study cellular wave computing of fluxon and breathon type solutions of the sin-Gordon equation. We propose analysis of such solutions by means of classical theory and describing function method. Simulations of the obtained model are given.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"29 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":"130661652","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
Cellular neural networks and zeta functions 细胞神经网络和ζ函数
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430260
Jung-Chao Ban, Wen-Guei Hu, Song-Sun Lin, Yin-Heng Lin
{"title":"Cellular neural networks and zeta functions","authors":"Jung-Chao Ban, Wen-Guei Hu, Song-Sun Lin, Yin-Heng Lin","doi":"10.1109/CNNA.2010.5430260","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430260","url":null,"abstract":"This talk is concerned with zeta functions of two-dimensional shifts of finite type. The zeta function is an important invariant, which combines information of all periodic patterns. The zeta function can be explicitly expressed as a reciprocal of an infinite product of polynomials by patterns generation approaches. The methods can apply to two-dimensional cellular neural networks.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"42 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":"125458099","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
A CMOS-based lab-on-chip array for the combined magnetic stimulation and opto-chemical sensing of neural tissue 一种用于神经组织磁刺激和光化学传感的cmos芯片实验室阵列
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430288
T. Constandinou, P. Georgiou, T. Prodromakis, C. Toumazou
{"title":"A CMOS-based lab-on-chip array for the combined magnetic stimulation and opto-chemical sensing of neural tissue","authors":"T. Constandinou, P. Georgiou, T. Prodromakis, C. Toumazou","doi":"10.1109/CNNA.2010.5430288","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430288","url":null,"abstract":"This paper presents a novel CMOS-based lab-on-chip platform for non-contact magnetic stimulation and recording of neural tissue. The proposed system is the first of its kind to integrate magnetic-stimulation and opto-chemical sensing in a single pixel, tesselated to form an 8 × 8 array. Fabricated in a commercially-available 0.35 ¿m CMOS technology, the system can be intrinsically used for both optical imaging and pH sensing and includes mechanisms for calibrating out sensor variation and mismatch. In addition to sensory acquisition via an integrated 10-bit ADC, a 64-instruction spatiotemporal pattern generator has been embedded within the array for driving the microscale magnetic neural stimulation. In this application the ISFET-based sensors are used to capacitively-couple neuronal charge in close proximity to the floating gate. Optical imaging hardware has also been embedded to provide topographic detail of the neural tissue.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"11 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":"126780121","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: 8
CNN template design using back propagation algorithm 利用反向传播算法设计CNN模板
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430327
M. Nakagawa, T. Inoue, Y. Nishio
{"title":"CNN template design using back propagation algorithm","authors":"M. Nakagawa, T. Inoue, Y. Nishio","doi":"10.1109/CNNA.2010.5430327","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430327","url":null,"abstract":"In this article, detailed investigation of the template design method of cellular neural networks with back propagation algorithm, which was proposed by the authors before, is carried out. The performance of the method is also evaluated by using the average error which corresponds to the difference between the output produced by the designed template and the ideal output. Furthermore, the method is applied for gray scale image applications.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"103 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":"116210775","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
Variational computing based segmentation methods for medical imaging by using CNN 基于变分计算的医学图像CNN分割方法
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430256
A. Gacsádi, P. Szolgay
{"title":"Variational computing based segmentation methods for medical imaging by using CNN","authors":"A. Gacsádi, P. Szolgay","doi":"10.1109/CNNA.2010.5430256","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430256","url":null,"abstract":"The paper presents a new variational computing based medical image segmentation method by using Cellular Neural Networks (CNN). By implementing the proposed algorithm on FPGA (Field Programmable Gate Array) with an emulated digital CNN-UM (CNN-Universal Machine) there is the possibility to meet the requirements for medical image segmentation.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"35 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":"116648645","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: 14
Displacement calculation algorithm on a heterogenious multi-layer cellular sensor processor array 一种异构多层蜂窝传感器处理器阵列的位移计算算法
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430301
Á. Zarándy, D. Fekete, P. Foldesy, G. Sóos, C. Rekeczky
{"title":"Displacement calculation algorithm on a heterogenious multi-layer cellular sensor processor array","authors":"Á. Zarándy, D. Fekete, P. Foldesy, G. Sóos, C. Rekeczky","doi":"10.1109/CNNA.2010.5430301","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430301","url":null,"abstract":"Displacement calculation algorithm is implemented on a heterogeneous sensor processor architecture, constructed of a mixed signal medium resolution processor array, and a digital, low resolution, foveal processor array. The algorithm is designed as an initial step of an airborne navigation framework. It features multi-scale multi-fovea processing.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"1 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":"131140601","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
A novel image processing approach combining a 'coupled nonlinear oscillators'-based paradigm with cellular neural networks for dynamic robust contrast enhancement 一种新的图像处理方法，将基于“耦合非线性振荡器”的范式与用于动态鲁棒对比度增强的细胞神经网络相结合
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430259
K. Kyamakya, J. Chedjou, M. Latif, U.A. Khan
{"title":"A novel image processing approach combining a 'coupled nonlinear oscillators'-based paradigm with cellular neural networks for dynamic robust contrast enhancement","authors":"K. Kyamakya, J. Chedjou, M. Latif, U.A. Khan","doi":"10.1109/CNNA.2010.5430259","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430259","url":null,"abstract":"In this paper, a systematic discussion of both pros and cons of two well-known traditional approaches for image contrast enhancement is conducted. The first approach is based on the CNN paradigm and the second one is based on the coupled nonlinear oscillators' paradigm for image processing. In the later case an extensive bifurcation analysis is carried out and analytical formulas are derived to define the various states of the system. Both equilibrium and oscillatory states of the system are depicted. It is shown that each of these states has a significant impact on the quality of the resulting image contrast enhancement. A benchmarking is considered whereby a comparison is performed between the results obtained by a CNN-based processing, on one side, with those obtained by a 'coupled non linear oscillators' based processing, on the other side. The superiority of the later approach (for contrast enhancement) is demonstrated both analytically and through various experiments. A major drawback of the CNN based image processing is the practical inability to adjust/re-calculate templates in real-time in face of a dynamic scene with input images experiencing visibility and/or lighting related spatio-temporal dynamics. Finally, a novel hybrid approach integrating both schemes in an efficient way is proposed: the 'coupled nonlinear oscillators' based image processing is the main processing scheme that is however realized on top of a CNN processors' framework. The hybrid approach does prove to overcome key practical problems faced by both original approaches.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"50 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":"127607613","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: 10
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