Development of DSP Unit for Online Tuning and Application to Neural Pattern Recognition System

Recently, smaller and more effective recognition system is required in various fields. In our previous researches, the recognition system using neural network (NN) and DSP had been developed. In some research fields, such as biometrics, the target of the system was to recognize patterns whose data varied widely because of the difference of individuals and surroundings, but its recognition ability was not enough. So the online tuning system is proposed in this paper. The proposed system, which is consisted of DSP unit and the NN continuous learning and recognition parts, is used to recognize the patterns whose data varied widely. We discuss to adjust the recognition system to data varied widely by continuous leaning. In experiment, performance of the online tuning system is checked, and we attempt to apply the system to electromyogram (EMG) pattern recognition.Knowledge-Based Intelligent Information and Engineering Systems 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part

Coupling between localized resonance and excitation of surface waves in metal hole arrays

We investigate the transition of the dominant resonant transmission mechanism from localized resonance to excitation of surface waves and vice versa in metal hole arrays. The transition occurs continuously with a change in the length of the rectangular holes. We also study the effect of the incident-beam diameter and surface condition on the transmission spectrum. Our experimental results show the important differences between the two mechanisms. They also confirm the theoretical prediction of Bravo-Abad [Phys. Rev. B 76, 241102(R) (2007)].ArticlePHYSICAL REVIEW B. 79(15):153405 (2009)journal articl

Proposal for the Awakening Behavior Detection System Using Images and Adaptation for Fluctuation of Brightness Quantity in the Captured Image

Recently, accidents such that seniors fall down from the bed in care facilities or hospitals are increased. To prevent these accidents, we have developed the awakening behavior detection system using Neural Network. In this paper, it is a problem that the detection success rate of the current system using captured image in the clinical site is not enough. So, we analyze the captured image in the clinical site. From the result of the histogram analysis, it proves that the fluctuation of brightness quantity makes decrease the detection capability. Therefore, to decrease the influence of the brightness quantity, the histogram of the captured image should be equalized. Finally, we show that the histogram equalization reduces fluctuation of brightness quantity, numerically

Development of Oval-shaped Agricultural Product Inspection and Sorting System with Simultaneous Six-angle Photograph Taking and Its Practice

In the agricultural market, uniform appearance quality of products is becoming more important. In this paper, we propose a total surface inspection and sorting system of an oval-shaped agricultural product for the fully automated ranking operation under the uniform criteria. The system consists of a conveyance part, an image acquisition part, and a classification part. The conveyance part uses a sensor-driven independent driving system, which is constructed by three sets of the “V shape” arranged belt conveyors. In the image acquisition part, photographs of the object are taken from six different angles simultaneously. The classification part identifies the size, shape, and damage existence of the object. The experiment is performed using red peppers as an example of the oval-shaped agricultural product. This experiment is to confirm the effectiveness of conveyance and classification performance of the system and to make possible latent problems tangible. Furthermore, we newly adopt a sequence photographs camera for high-speed acquisition of the image. So we design a prototype of the industrial use with knowledge of the proposed system. We also refer to its feasibility of the practical use

Effect of dielectric thin films on reflection properties of metal hole arrays

This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in APPLIED PHYSICS LETTERS. 96(2):021106 (2010) and may be found at https://doi.org/10.1063/1.3292024 .We study the effect of a dielectric film attached to the surface of a metal hole array (MHA) on the reflection spectrum in the terahertz (THz) region. The frequency of the reflection dip, attributed to the excitation of surface waves in the vicinity of the MHA surface, shifts to lower frequencies with increasing dielectric film thickness. This resonant characteristic of MHAs can be applied to highly sensitive THz sensing for samples attached to the MHA surface. We also investigate the dependence of the reflection spectrum on the MHA's thickness and the side to which the dielectric film is attached.ArticleAPPLIED PHYSICS LETTERS. 96(2):021106 (2010)journal articl

Recognition of paper currencies by hybrid neural network

For the recognition of paper currencies by image processing, the two steps data processing approach can yield high performance. The two steps include “recognition” and “verification” steps. In the current recognition machine, a simple statistical test is used as the verification step, where univariate Gaussian distribution is employed. Here we propose the use of the probability density formed by a multivariable Gaussian function, where the input data space is transferred to a lower dimensional subspace. Due to the structure of this model, we refer the total processing system as a hybrid neural network. Since the computation of the verification model only needs the inner product and square, the computational load is very small. In this paper, the method and numerical experimental results are shown by using the real data and the recognition machine</p

Effect of dielectric thin films on reflection properties of metal hole arrays

This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in APPLIED PHYSICS LETTERS. 96(2):021106 (2010) and may be found at https://doi.org/10.1063/1.3292024 .We study the effect of a dielectric film attached to the surface of a metal hole array (MHA) on the reflection spectrum in the terahertz (THz) region. The frequency of the reflection dip, attributed to the excitation of surface waves in the vicinity of the MHA surface, shifts to lower frequencies with increasing dielectric film thickness. This resonant characteristic of MHAs can be applied to highly sensitive THz sensing for samples attached to the MHA surface. We also investigate the dependence of the reflection spectrum on the MHA's thickness and the side to which the dielectric film is attached.ArticleAPPLIED PHYSICS LETTERS. 96(2):021106 (2010)journal articl

Controlling extraordinary transmission characteristics of metal hole arrays with spoof surface plasmons

We experimentally controlled the spectral characteristics of the extraordinary transmissions observed in metal hole arrays by analogy with spoof surface plasmon-polaritons (spoof SPPs), We constructed doubly periodic metal hole arrays. The larger and smaller periodic holes are for inducing extraordinary transmissions and modifying the spoof SPPs characteristics, respectively. Introducing the smaller holes that surround the larger hole arrays can modify the dispersion curve of the surface waves excited on a structured metal surface analogous to the spoof SPP model, and consequently, the extraordinary transmission peak will show a redshift. (C) 2012 American Institute of Physics. [https://doi.org/10.1063/1.3689784]ArticleAPPLIED PHYSICS LETTERS. 100(8):081112 (2012)journal articl