2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)最新文献_第5页

Compressive sensing with sparse reporting for energy 具有能量稀疏报告的压缩感知

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605083

M. Simonov, G. Zanetto, G. Chicco

引用次数: 1

A 20Mevps/32Mev event-based USB framework for neuromorphic systems debugging 用于神经形态系统调试的20Mevps/32Mev事件型USB框架

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605248

A. Rios-Navarro, J. P. Dominguez-Morales, Ricardo Tapiador-Morales, Daniel Gutierrez-Galan, A. Jiménez-Fernandez, A. Linares-Barranco

{"title":"A 20Mevps/32Mev event-based USB framework for neuromorphic systems debugging","authors":"A. Rios-Navarro, J. P. Dominguez-Morales, Ricardo Tapiador-Morales, Daniel Gutierrez-Galan, A. Jiménez-Fernandez, A. Linares-Barranco","doi":"10.1109/EBCCSP.2016.7605248","DOIUrl":"https://doi.org/10.1109/EBCCSP.2016.7605248","url":null,"abstract":"Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or event-based representation and codification of the information. This codification allows performing complex computations, filters, classifications and learning in a pseudo-simultaneous way. Small incremental processing is done per event, which shows useful results with very low latencies. Therefore, developing this kind of systems requires the use of specialized tools for debugging and testing those flows of events. This paper presents a set of logic implementations for FPGA that assists on the development of event-based systems and their debugging. Address-Event-Representation (AER) is a communication protocol for transferring events/spikes between bio-inspired chips/systems. Real-time monitoring and sequencing, logging and playing back long sequences of events/spikes to and from memory; and several merging and splitting ports are the main requirements when developing these systems. These functionalities and implementations are explained and tested in this work. The logic has been evaluated in an Opal-Kelly XEM6010 acting as a daughter board for the AER-Node platform. It has a peak rate of 20Mevps when logging and a total of 32Mev of logging capacity on DDR when debugging an AER system in the AER-Node or a set of them connected in daisy chain.","PeriodicalId":411767,"journal":{"name":"2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130763057","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

Steering a predator robot using a mixed frame/event-driven convolutional neural network 基于混合帧/事件驱动卷积神经网络的捕食机器人控制

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605233

Diederik Paul Moeys, Federico Corradi, E. Kerr, P. Vance, Gautham P. Das, Daniel Neil, D. Kerr, T. Delbrück

{"title":"Steering a predator robot using a mixed frame/event-driven convolutional neural network","authors":"Diederik Paul Moeys, Federico Corradi, E. Kerr, P. Vance, Gautham P. Das, Daniel Neil, D. Kerr, T. Delbrück","doi":"10.1109/EBCCSP.2016.7605233","DOIUrl":"https://doi.org/10.1109/EBCCSP.2016.7605233","url":null,"abstract":"This paper describes the application of a Convolutional Neural Network (CNN) in the context of a predator/prey scenario. The CNN is trained and run on data from a Dynamic and Active Pixel Sensor (DAVIS) mounted on a Summit XL robot (the predator), which follows another one (the prey). The CNN is driven by both conventional image frames and dynamic vision sensor “frames” that consist of a constant number of DAVIS ON and OFF events. The network is thus “data driven” at a sample rate proportional to the scene activity, so the effective sample rate varies from 15 Hz to 240 Hz depending on the robot speeds. The network generates four outputs: steer right, left, center and non-visible. After off-line training on labeled data, the network is imported on the on-board Summit XL robot which runs jAER and receives steering directions in real time. Successful results on closed-loop trials, with accuracies up to 87% or 92% (depending on evaluation criteria) are reported. Although the proposed approach discards the precise DAVIS event timing, it offers the significant advantage of compatibility with conventional deep learning technology without giving up the advantage of data-driven computing.","PeriodicalId":411767,"journal":{"name":"2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130914287","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: 104

An error measurement for resampled level crossing signal 重采样的电平交叉信号误差测量

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605241

S. Qaisar, M. Akbar, T. Beyrouthy, Wadee Al-Halabi, Mohammad Asmatulah

{"title":"An error measurement for resampled level crossing signal","authors":"S. Qaisar, M. Akbar, T. Beyrouthy, Wadee Al-Halabi, Mohammad Asmatulah","doi":"10.1109/EBCCSP.2016.7605241","DOIUrl":"https://doi.org/10.1109/EBCCSP.2016.7605241","url":null,"abstract":"This work is a contribution to enhance the signal processing chain required in mobile systems. The system must be efficient in terms of resources utilisation like memory, computation complexity, data transmission, battery consumption, etc. In the aim to achieve these features an event driven signal acquisition, processing and transmission chain based on level crossing and activity selection is adopted. It delivers non-uniformly spaced samples. The employment of efficient and mature classical signal processing tools requires the uniform resampling of level crossing sampled signal. In this context, three resampling techniques, Sample&Hold, Nearest Neighbor and Linear Interpolation, for level crossing sampled signal are examined. Their performance is studied in terms of computational complexity and the resampling accuracy. The resampling error is measured in time domain. It has advantages compared to its counter frequency domain methods. Firstly it does not require the computationally complex frequency domain signal transformation. Secondly it does not introduce distortions, could appear during this frequency domain transformation.","PeriodicalId":411767,"journal":{"name":"2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122208300","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: 20

Data protection aspects in Lebesgue-based meters 勒贝格仪表的数据保护方面

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605088

M. Simonov, G. Zanetto, G. Chicco

引用次数: 0

High-level synthesis for event-based systems 基于事件的系统的高级综合

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605252

Jean Simatic, R. P. Bastos, L. Fesquet

引用次数: 3

A new event generator for PIPlus control systems 用于PIPlus控制系统的新事件生成器

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605264

Luca Merigo, M. Beschi, F. Padula, A. Visioli

引用次数: 0

Fully synthesized time-to-digital converter for cellular transceivers 用于蜂窝收发器的全合成时间-数字转换器

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605279

Dimo Martev, S. Hampel, Ulf Schlichtmann

引用次数: 2

Event-based with linear prediction electricity meters reading in building automation 基于事件的线性预测抄表在楼宇自动化中的应用

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605087

M. Jachimski, Z. Mikos, G. Hayduk

引用次数: 2

Stochastic event-triggered particle filtering for state estimation 状态估计的随机事件触发粒子滤波

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2016-06-13 DOI: 10.1109/EBCCSP.2016.7605251

N. S. Nokhodberiz, M. Davoodi, N. Meskin

引用次数: 8