33 Result(s)
within
Computer Science
Computation by Abstract Devices
Sigeru Omatu
Article
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Article
Intelligence based on neuro-control
In this paper, we consider a neuro-approach to motion control based on a PID (proportional plus integral plus derivative) control method to stabilize a pendulum. This controller requires the determination of P...
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An intelligent approach to position control of a hard disk drive
A new self-tuning neuro-proportional+integral+derivative (PID) controller is proposed and applied to position control of the magnetic head in a hard disk drive. The proportional, integral, and derivative gains...
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Article
A reliable method for classification of bank notes using artificial neural networks
We present a method based on principal component analysis (PCA) for increasing the reliability of bank note recognition machines. The system is intended for classifying any kind of currency, but in this paper ...
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Quality evaluation of transmission devices using the GA with FP
We propose a new method of evaluating the quality of a transmission device according to the acoustic data by using the genetic algorithm (GA) with floating points (FP). We extracted the “spectrum average” and ...
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Acoustic signal separation of mechanical devices using ICA with band-pass filters
We propose a method of separating the acoustic signals of motors and the gears of mechanical devices by using independent component analysis (ICA) with band-pass filters. The frequency distribution of a record...
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Construction of a classifier using AdaBoost for information filtering
We describe an information filtering system using AdaBoost. To realize the filtering system, we created a user profile which presents the user’s interests. Since the user’s interests are complex, the user prof...
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Information recommendation using ICA
We describe an information filtering system using independent component analysis (ICA). A document–word matrix is generally sparse and has an ambiguity of synonyms. To solve this problem, we propose a method t...
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An image segmentation method using histograms and the human characteristics of HSI color space for a scene image
Image segmentation is an important subject for image recognition. Here, we propose a new image segmentation method for scene images. The proposed segmentation method classifies images into several segments bas...
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Information filtering using a probabilistic model
We propose an information filtering system based on a probabilistic model. We make an assumption that a document consists of words which occur according to a probability distribution, and regard a document as ...
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Graph extension with constant connectivity
In the field of the scaling-up of communication networks, numbers of communication stations (nodes) and the corresponding communication links (edges) are increasing rapidly. The reliability of the networks the...
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An image recognition method by rough classification for a scene image
We have recognized the regions of scene images for image recognition. First, the proposed segmentation method classifies images into several segments without using the Euclidian distance. We need several featu...
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Information filtering using SVD and ICA
We propose an information filtering system for documents by a user profile using latent semantics obtained by singular value decomposition (SVD) and independent component analysis (ICA). In information filteri...
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Extraction of rice-planted area using a self-organizing feature map
We introduce a neural network of self-organizing feature map (SOM) to classify remote-sensing data, including microwave and optical sensors, for the estimation of areas of planted rice. This method is an unsup...
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A model for gene selection and classification of gene expression data
Gene expression data are expected to be of significant help in the development of efficient cancer diagnosis and classification platforms. One problem arising from these data is how to select a small subset of...
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Extraction rice-planted areas by RADARSAT data using neural networks
A classification technique using the neural networks has recently been developed. We apply a neural network of learning vector quantization (LVQ) to classify remote-sensing data, including microwave and optica...
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Lip detection by the use of neural networks
Lip detection is used in many applications such as face detection and lip reading. In this article, a method for lip detection in color images in a normalized RGB color scheme is presented. In this method, MLP...
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Selecting informative genes from microarray data by using hybrid methods for cancer classification
Gene expression technology, namely microarrays, offers the ability to measure the expression levels of thousands of genes simultaneously in biological organisms. Microarray data are expected to be of significa...
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Continuous fatigue level estimation for the classification of fatigued bills based on an acoustic signal feature by a supervised SOM
Fatigued bills have a harmful influence on the daily operation of automated teller machines (ATMs). To make the classification of fatigued bills more efficient, the development of an automatic fatigued bill cl...
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A multi-objective strategy in genetic algorithms for gene selection of gene expression data
A microarray machine offers the capacity to measure the expression levels of thousands of genes simultaneously. It is used to collect information from tissue and cell samples regarding gene expression differen...
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Data fusion for skin detection
Two methods of data fusion to improve the performance of skin detection were tested. The first method fuses two chrominance components from the same color space, while the second method fuses the outputs of tw...
