Haichao Liang, T. Morie, Youhei Suzuki, K. Nakada, T. Miki, H. Hayashi
{"title":"An FPGA-based CollisionWarning System Using Hybrid Approach","authors":"Haichao Liang, T. Morie, Youhei Suzuki, K. Nakada, T. Miki, H. Hayashi","doi":"10.1109/HIS.2007.38","DOIUrl":"https://doi.org/10.1109/HIS.2007.38","url":null,"abstract":"In this paper, we propose an FPGA-based collision warning system for advanced automobile driver assistance systems or autonomous moving robots. The system consists of three function blocks: coarse edge detection using a resistive-fuse network, moving-object detection inspired by neuronal propagation in the hippocampus, and danger evaluation and collision warning using fuzzy inference. The first two functions are implemented in FPGAs. The system can detect moving objects with a speed range of 3-192 km/h with a sampling period of 30 ms for an input image of 320 x 256 pixels, and can output a warning against dangerous regions in the input image.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116701555","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}
J. Salmen, T. Suttorp, Johann Edelbrunner, C. Igel
{"title":"Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification","authors":"J. Salmen, T. Suttorp, Johann Edelbrunner, C. Igel","doi":"10.1109/HIS.2007.48","DOIUrl":"https://doi.org/10.1109/HIS.2007.48","url":null,"abstract":"Computer vision for object detection often relies on complex classifiers and large feature sets to achieve high detection rates. But when real-time constraints have to be met, for example in driver assistance systems, fast classifiers are required. Here we consider the design of a computationally efficient system for pedestrian detection. We propose an evolutionary algorithm for the optimization of a small set of wavelet features, which can be computed very efficiently. These features serve as input to a linear classifier. The classification performance of the optimized system is on par with recently published results obtained with support vector machines on large feature sets, while the computational time is lower by orders of magnitude.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127156023","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}
E. Oliveira, P.G. Campos, Teresa B Ludermir, F. D. Carvalho, W. R. Oliveira
{"title":"Application of a Hybrid Classifier to the Recognition of Petrochemical Odors","authors":"E. Oliveira, P.G. Campos, Teresa B Ludermir, F. D. Carvalho, W. R. Oliveira","doi":"10.1109/HIS.2007.21","DOIUrl":"https://doi.org/10.1109/HIS.2007.21","url":null,"abstract":"Nowadays there are several data mining algorithms applied to the resolution of many different problems, such as the classification of patterns. However, when these algorithms are used separately to classify they usually present an inferior performance compared to the performance obtained by combined models. The bagging and boosting techniques combine models of the same kind in a competitive form, in other words, the output is generally provided by the winning classifier. Alternatively, stacking usually combines different algorithms, constituting a hybrid model. Nevertheless, stacking has a high cost, due to the search for the best models that will be combined to solve a certain problem. Thus, we present a hybrid classifier (HC) to be applied to the recognition of gases derived from petrol at a lower cost and in a cooperative way.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124772841","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}
Ricardo Martins de Abreu Silva, A. Mendonça, F. G. Brandão, Danilo M. Pires, Gleimar B. Baleeiro, Alexandre A. S. e Oliveira, F. L. Valentim, N. Calegário
{"title":"Fuzzy and Neuro-Fuzzy Modeling for Total Volume study of Eucalyptus sp","authors":"Ricardo Martins de Abreu Silva, A. Mendonça, F. G. Brandão, Danilo M. Pires, Gleimar B. Baleeiro, Alexandre A. S. e Oliveira, F. L. Valentim, N. Calegário","doi":"10.1109/HIS.2007.64","DOIUrl":"https://doi.org/10.1109/HIS.2007.64","url":null,"abstract":"Eucalyptus is the most valuable cultivated forest genus in Brazil nowadays. Modeling eucalyptus volume has been important for foresters in recent years due to strong site and genetic variations, management regimes and multiple products generated from these plantations. At this work, fuzzy and neuro-fuzzy models were developed to represent the volume pattern of eucalyptus clonal stands from Brazilian coast region. Likewise in other scientific field, these types of modeling methodologies showed to be precise and accurate.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133093001","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}
{"title":"Visualization of Pareto-Sets in Evolutionary Multi-Objective Optimization","authors":"M. Köppen, Kaori Yoshida","doi":"10.1109/HIS.2007.62","DOIUrl":"https://doi.org/10.1109/HIS.2007.62","url":null,"abstract":"In this paper, a method for the visualization of the population of an evolutionary multi-objective optimization (EMO) algorithm is presented. The main characteristic of this approach is the preservation of Pareto-dominance relations among the individuals as good as possible. It will be shown that in general, a Pareto- dominance preserving mapping from higher- to lower- dimensional spaces does not exist. Thus, the demand is to find a mapping with as few wrongly indicated dominance relations as possible, which gives one more objective in addition to other mapping objectives like preserving nearest neighbor relations. Therefore, such a mapping poses a multi-objective optimization problem by itself, which is also handled by an EMO algorithm (NSGA-II in this case). The resulting mappings are shown for the run of a NSGA-II version on the 15 objective DTLZ2 problem as an example. From such plots, some insights into evolutionary dynamics can be obtained.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124350870","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}
{"title":"A Digital Framework for Pulse Coded Neural Network Hardware with Bit-Serial Operation","authors":"Tim Kaulmann, Deniz Dikmen, U. Rückert","doi":"10.1109/HIS.2007.24","DOIUrl":"https://doi.org/10.1109/HIS.2007.24","url":null,"abstract":"This publication presents a digital framework for building up pulse coded neural networks with leaky integrate-and-fire neurons and static synapses as well as dynamic synapses. The system, including a novel communication infrastructure, is mainly focused on ASIC synthesis but also shows a small footprint on Virtex2(Pro) FPGAs. Its bit-serial operation has been verified by simulations.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126152271","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}
{"title":"Organization-Oriented Chemical Programming","authors":"N. Matsumaru, Peter Kreyssig, P. Dittrich","doi":"10.1007/978-3-0348-0130-0_13","DOIUrl":"https://doi.org/10.1007/978-3-0348-0130-0_13","url":null,"abstract":"","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122212251","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}
Patrick Camilleri, M. Giulioni, V. Dante, Giacomo Badoni, G. Indiveri, B. Michaelis, J. Braun, P. D. Giudice
{"title":"A Neuromorphic aVLSI network chip with configurable plastic synapses","authors":"Patrick Camilleri, M. Giulioni, V. Dante, Giacomo Badoni, G. Indiveri, B. Michaelis, J. Braun, P. D. Giudice","doi":"10.1109/HIS.2007.60","DOIUrl":"https://doi.org/10.1109/HIS.2007.60","url":null,"abstract":"We describe and demonstrate the key features of a neuromorphic, analog VLSI chip (termed F-LANN) hosting 128 integrate-and-fire (IF) neurons with spike-frequency adaptation, and 16 384 plastic bistable synapses implementing a self-regulated form of Hebbian, spike-driven, stochastic plasticity. We were successfully able to test and verify the basic operation of the chip as well as its main new feature, namely the synaptic configurability. This configurability enables us to configure each individual synapse as either excitatory or inhibitory and to receive either recurrent input from an on-chip neuron or AER (address event representation)-based input from an off-chip neuron. It's also possible to set the initial state of each synapse as potentiated or depressed, and the state of each synapse can be read and stored on a computer. The main aim of this chip is to be able to efficiently perform associative learning experiments on a large number of synapses. In the future we would like to connect up multiple F-LANN chips together to be able to perform associative learning of natural stimulus sets.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115784777","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}
{"title":"Learning Context-Free Grammars from Partially Structured Examples: Juxtaposition of GCS with TBL","authors":"O. Unold, L. Cielecki","doi":"10.1109/HIS.2007.44","DOIUrl":"https://doi.org/10.1109/HIS.2007.44","url":null,"abstract":"This paper juxtaposes performance of the grammar- based classifier system (GCS) with tabular representation algorithm (TBL) on the task of inducing context-free grammars from partially structured examples. In both cases structured examples rapidly improve the efficiency of learning algorithms, although there are substantial differences in the way they work. GCS requires more attention while setting initial system parameters and structured examples provide a bit more information than in TBL but on the other hand it is more efficient when tested against the same examples' sets.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121509827","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}
{"title":"Genetic Programming meets Model-Driven Development","authors":"T. Weise, M. Zapf, Mohammad Ullah Khan, K. Geihs","doi":"10.1109/HIS.2007.11","DOIUrl":"https://doi.org/10.1109/HIS.2007.11","url":null,"abstract":"Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. Then, it is most likely a hardwired module of a design framework where it assists the engineer in optimizing specific aspects in system development. In this paper we show how the utility of genetic programming can be increased remarkably by isolating it as a component and integrating it into the model-driven software development process. Our genetic programming framework produces XMI-encoded UML models that can easily be loaded into widely available modeling tools, which in turn offer code generation as well as additional analysis and test capabilities. We use the evolution of a distributed election algorithm as an example to illustrate how genetic programming can be combined with model-driven development.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131907975","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}