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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Kun-Ming Yu Cheng-Yan Yu Bo-Han Yeh Ching-Hsien Hsu Hung-Nien Hsieh Department of Computer Science and Information Engineering Chung Hua University Taiwan Ph.D. Program of Technology Management Chung Hua University Taiwan Department of Architecture and Urban Planning Chung Hua University Taiwan

The worldwide Digital Signage market has been getting increasingly popular in recent years. Nevertheless, for service providers, the Digital Signage business is still not easy to manage and time-consuming to operate. In this paper, based on the GPS and wireless infrastructure, we present a mobile location-aware digital signage system (LDSS). Through the centralized system architecture, the applications for the Digital Signage can be expanded to various advertising vehicles including buses and other mobile advertising vehicles. Also, we present an advertisement recommendation algorithm, by which the advertisement can be broadcasted in the right markets more effectively. Evidenced by simulated experiments and analysis, compared with traditional region trigger advertising, sequential advertising and random advertising, our advertisement recommendation algorithm can effectively reach to the key target audiences in planned regions, while show excellent ability to differentiate markets in unplanned regions reaching to the target consumer groups as well.

关键词： Advertising Mobile communication Vehicles Decision support systems Mobile handsets Business Wireless communication

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A multichannel SPR biosensor with a fixed detection system

A multichannel SPR biosensor with a fixed detection system

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2010亚洲光电子会议先进的传感系统及其应用分会场

作者： Boonsong Sutapun Armote Somboonkaew Ratthasart Amrit Supanit Porntheeraphat Nongluck Houngkamhang Toemsak Srikhirin Photonics Technology Laboratory National Electronics and Computer Technology Center Thai Microelectronics Center National Electronics and Computer Technology Center112 Thailand Science Park Pahol Yothin Rd.Klong LuangPathumthaniThailand 12120 Materials Science and Engineering Program and Physics Department Faculty of ScienceMahidol UniversityRama 6 Rd.RajathaveeBangkok 10400Thailand

Surface plasmon resonance （SPR） sensors with spectral interrogation provide a high refractive index resolution, a large dynamic range and a fixed optical detection module. In this work, we propose a new spectral detection unit that uses only one spectrometer to measure the SPR spectrum from multiple sensing spots rapidly and serially without any mechanical movement. This spectral detection unit is designed based on a spatial light modulator （SLM） configured as a programmable optical aperture for the spectrometer. To demonstrate this concept, a five-channel SPR sensor was built based on the proposed multichannel detection unit and we evaluated the device performance using a refractive index test. The average device refractive index resolution was 1.4 × 10 -6 refractive index units （RIU）.

关键词： Surface plasmon resonance SPR multichannel detection optical biosensor biosensor

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Outage analysis of opportunistic decode-and-forward relaying

Outage analysis of opportunistic decode-and-forward relaying

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International Symposium on Wireless Communication Systems (ISWCS)

作者： Kamel Tourki Hong-Chuan Yang Mohamed-Slim Alouini ECEN Program Texas A and M University Qatar Doha Qatar Department of Electrical and Computer Engineering University of Victoria Victoria BC Canada King Abdullah University for Science and Technology Thuwal Makkah Saudi Arabia

In this paper, we investigate a dual-hop opportunistic decode-and-forward relaying scheme where the source may or not be able to communicate directly with the destination. We first derive statistics based on exact probability density function (PDF) of each hop. Then, the PDFs are used to determine closed-form outage probability expression for a transmission rate R. Furthermore, we evaluate the asymptotic outage performance and the diversity order is deduced. Unlike existing works where the analysis focused on high signal-to-noise ratio (SNR) regime, such results are important to enable the designers to take decisions regarding practical systems that operate at low SNR regime. We show that performance simulation results coincide with our analytical results under practical assumption of unbalanced hops.

关键词： Relays Signal to noise ratio Probability density function Protocols Fading Wireless communication Probability

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Individual-based simulation of sexual selection: A quantitative genetic approach

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Procedia computer science 2010年第1期1卷 2003-2011页

作者： D. van Dijk P.M.A. Sloot J.C. Tay M.C. Schut Computational Science University of Amsterdam Sciencepark 107 1098 XG Amsterdam The Netherlands Evolutionary and Complex Systems Program School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore Department of Artificial Intelligence Vrije Universiteit Amsterdam 1081 HV Amsterdam The Netherlands

Sexual selection has been mathematically modeled using quantitative genetics as well as population genetics. Two-locus simulation models have been used to study the evolution of male display and female preference. We present an individual-based simulation model of sexual selection in a quantitative genetic context. We show that under certain conditions Fisherian self-reinforcing sexual selection takes effect, predicted by Lande’s analytic model of female choice. We also show that the dynamics involved in the co-evolution of male display and female preference is much more complex than mathematics would predict. We therefore argue that the study of sexual selection through individual-based simulation could give new and more realistic insight into a world dominated by overly simplified equations.

关键词： Sexual selection Individual-based modeling Agent-based modeling

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An efficient ICA approach based on neural network framework for biomedical applications

An efficient ICA approach based on neural network framework ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Yue-Der Lin Chih-Yu Hsu Hung-Yun Chen Kuo-Kun Tseng Department of Automatic Control Engineering and Master Program of Biomedical Informatics and Biomedical Engineering Feng Chia University FCU Taichung Taiwan Department of Information and Communication Engineering Chao Yang University of Technology Taichung Taiwan Department of Automatic Control Engineering Feng Chia University FCU Taichung Taiwan Department of Computer Science and Engineering Hung Kuang University Taichung Taiwan

The paper developed a block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals. Source signals including electrocardiogram (ECG), electromyogram (EMG) and 60-Hz sinusoid are linearly mixed for experimental tests. The mean-square errors (MSE) between the original sources and the separated signals are calculated for the evaluation of separation performance. These results demonstrated that the proposed block-wise approach can achieve the desired separation performance of signals in a more efficient way.

关键词： Equations Algorithm design and analysis Electrocardiography Electromyography Source separation Iterative algorithm Indexes

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Accelerating the Shuffled Frog Leaping algorithm by parallel implementations in FPGAs

Accelerating the Shuffled Frog Leaping algorithm by parallel...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Daniel M. Muñoz Carlos H. Llanos Leandro dos S. Coelho Mauricio Ayala-Rincón Department of Mechanical Engineering University of Brasilia Brasilia D.F Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F Brazil

Meta-heuristics are efficient techniques for solving large scale optimization problems in which traditional mathematical techniques are impractical or provide suboptimal solutions. The Shuffled Frog Leaping algorithm (SFLA) is a stochastic iterative method, bio-inspired on the memetic evolution of a group of frogs when seeking for food, which combines the social behavior-based of the particle swarm optimization technique (PSO) and the global information exchange of memetic algorithms. However, the SFLA algorithm suffers on large execution times, being this problem clearly evident when solving complex optimization problems for embedded applications. This drawback can be overcome by exploiting the parallel capabilities of the SFLA. This paper proposes a hardware parallel implementation of the SFLA algorithm (HPSFLA) using FPGAs (Field programmable gate Arrays) and the efficient floating-point arithmetic. The proposed architecture allows the SFLA to improve the functionality of the algorithm as well as to decrease the execution times by implementing parallel frogs and parallel memeplexes. Three well-known benchmark problems have been used to validate the implemented algorithm and simulation results demonstrate that the HPSFLA speeds-up by factors of 362, 727 and 211 a C-code implementation using an embedded microprocessor for the Sphere, Rastrigin and Rosenbrock benchmarks problems, respectively. Synthesis, simulation and execution time results demonstrate the effectiveness of the proposed HPSFLA architecture for embedded optimization systems.

关键词： Mathematics Field programmable gate arrays Table lookup

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Combination of PCA and undecimated wavelet transform for neural data processing

Combination of PCA and undecimated wavelet transform for neu...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Sajad Farashi Mohammad D. Abolhassani Yousef Salimpour Javad Alirezaie Biomedical engineering of Medical Physics and Biomedical Engineering Department Tehran University of Medical Sciences Iran Centre of Science & Technology Tehran University of Medical Sciences Iran NeuroScience and NeuroEngineering in School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Research engineer in research Centre of science and technology in medicine Tehran University of Medical Sciences Tehran Iran Department of Electrical and Computer Engineering faculty of engineering and applied sciences Ryerson University Canada

Nervous system conveys information by electrical signals called `spikes', therefore, spikes detection and sorting are challenging topics in the neural data processing. The principal component analysis (PCA) is a convenient tool for clustering spikes; however it has some disadvantages for closely shaped and overlapped spikes. For such the cases, an algorithm based on the combination of the principal component analysis and undecimated wavelet transform, is proposed to enhance the cluster formation from the spikes mapping. These results indicate that the principal component analysis used in combination with the undecimated wavelet has a better performance in the spike sorting. This can lead to more compact and separate clusters in comparison with the PCA clustering and more efficient spike sorting.

关键词： Principal component analysis Clustering algorithms Feature extraction Wavelet coefficients Classification algorithms

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WANN-Tagger: A weightless artificial neural network tagger for the portuguese language

WANN-Tagger: A weightless artificial neural network tagger f...

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作者： Carneiro, Hugo C. C. França, Felipe M. G. Lima, Priscila M. V. Systems Engineering and Computer Science Program/COPPE Universidade Federal do Rio de Janeiro Caixa Postal 68511 21941-972 Rio de Janeiro RJ Brazil Department of Mathematics Universidade Federal Rural do Rio de Janeiro Km 47 Campus Universitário BR-465 23890-000 Seropédica RJ Brazil

ISBN: (纸本)9789898425324

Weightless Artificial Neural Networks have proved to be a promising paradigm for classification tasks. This work introduces the WANN-Tagger, which makes use of weightless artificial neural networks for labelling Portuguese sentences, tagging each of its terms with its respective part-of-speech. A first experimental evaluation using the CETENFolha corpus indicates the usefulness of this paradigm and shows that it outperforms traditional feedforward neural networks in both accuracy and training time, and also that it is competitive in accuracy with the Hidden Markov Model in some cases. Additionally, WANN-Tagger shows itself capable of incrementally learning new tagged sentences during runtime.

关键词： Feedforward neural networks

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Mammalian cell sorting using ∞FACS

Mammalian cell sorting using ∞FACS

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Conference on Lasers and Electro-Optics (CLEO)

作者： Sung Hwan Cho Chun Hao Chen Frank S. Tsai Jessica Godin Yu-Hwa Lo Materials Science & Engineering Program Jacobs School of Engineering University of California San Diego La Jolla CA USA Department of Bioengineering Jacobs School of Engineering University of California San Diego La Jolla CA USA Department of Electrical & Computer Engineering Jacobs School of Engineering University of California San Diego La Jolla CA USA

K562 mammalian cells are sorted using a highly integrated microfabricated fluorescence-activated cell sorter (∝FACS). The sample cells are purified with an enrichment factor of 230 at a high throughput (>1,000 cel... 详细信息

关键词： Sorting Biomedical optical imaging Cells (biology) Optical signal processing Microfluidics Actuators Control systems Jacobian matrices Fluorescence Throughput

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Movement Persuit Control of an Offshore Automated Platform via a RAM-based Neural Network

Movement Persuit Control of an Offshore Automated Platform v...

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International Conference on Control, Automation, Robotics and Vision

作者： Horacio L. Franca Joao Carlos P. da Silva Omar Lengerke Max S. Dutra Massimo De Gregorio Felipe M. G. Franca Computer Science Department Mathematics Institute Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil Mechanical Engineering Program COPPE Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil Istituto di Cibernetica "Eduardo Caianiello" Consiglio Nazionale delle Ricerche (CNR) Naples Italy System Engineering and Computer Science Program COPPE Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9781424478149

The reproduction of the movements of a ship by automated platforms, without the use of sensors providing exact data related to the numeric variables involved, is a non-trivial matter. The creation of an artificial vision system that can follow the cadence of said ship, in six axes of freedom, is the goal of this research. Considering that a real time response is a requisite in this case, it was decided to adopt a Boolean artificial neural network system that could identify and follow arbitrary interest points that could define, as a group, a model of the movement of an observed vessel. This paper describes the development of a prototype based on the Boolean perceptron model WiSARD (Wilkie, Stonham and Aleksander's Recognition Device), that is being implemented in the C programming language on a desktop computer using a regular webcam as input.

关键词： Stewart platform weightless neural networks WiSARD

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