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Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II

作者： Nobuhide Yamakawa Toru Takahashi Tetsuro Kitahara Tetsuya Ogata Hiroshi G. Okuno Graduate School of Informatics Kyoto University Kyoto Japan Department of Computer Science and System Analysis College of Humanities and Sciences Nihon University Tokyo Japan

ISBN: (纸本)9783642218262

Our goal is to achieve a robot audition system that is capable of recognizing multiple environmental sounds and making use of them in human-robot interaction. The main problems in environmental sound recognition in robot audition are: (1) recognition under a large amount of background noise including the noise from the robot itself, and (2) the necessity of robust feature extraction against spectrum distortion due to separation of multiple sound sources. This paper presents the environmental recognition of two sound sources fired simultaneously using matching pursuit (MP) with the Gabor wavelet, which extracts salient audio features from a signal. The two environmental sounds come from different directions, and they are localized by multiple signal classification and, using their geometric information, separated by geometric source separation with the aid of measured head-related transfer functions. The experimental results show the noise-robustness of MP although the performance depends on the properties of the sound sources.

关键词： environmental sound recognition matching pursuit computational auditory scene analysis robot audition

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Assessing lung volumetric variation to detect and stage COPD

Assessing lung volumetric variation to detect and stage COPD

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2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011

作者： Hosseini, M. Parsa Soltanian-Zadeh, Hamid Akhlaghpoor, Shahram Department of Electrical Engineering Islamic Azad University Science and Research Branch of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Radiology Tehran University of Medical Sciences Sina Hospital Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424470006

Chronic obstructive pulmonary disease (COPD) is a devastating disease. In this paper, we propose a novel method for scoring of air trapping in the lungs for detection and evaluation of COPD. The proposed method finds volumetric changes of the lungs from inspiration to expiration. To this end, trachea CT images at full inspiration and expiration are compared. For this comparison, the lungs parenchyma in the inspiration and expiration images are found and changes in the surface and volume of the lungs between inspiration and expiration are used to define quantitative measures (features). Using these features, the subjects are classified into two groups of normal class and COPD patients using a Bayesian classifier. In addition, t-tests are applied to evaluate discrimination powers of the features for this classification. The main advantage of the proposed method is its ability to estimate air trapping in the lungs from CT images without human intervention. The proposed method may assists radiologists in the detection of COPD as a computer aided diagnosis (CAD) system. It may also assist them with the scoring of the disease (severity of air trapping in the lungs). © 2011 IEEE.

关键词： computerized tomography

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A novel method for identification of COPD in inspiratory and expiratory states of CT images

A novel method for identification of COPD in inspiratory and...

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2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011

ISBN: (纸本)9781424470006

Chronic obstructive pulmonary disease (COPD) refers to a group of lung diseases that block airflow and cause a huge degree of human suffering. While there is no cure for COPD and the lung damage that results in this disease cannot be reversed, it is very important to diagnose it as early as possible. Additional to diagnosis, using a mathematical model to estimate severity of disease would be helpful for evaluation of treatment effects. This paper presents a new method for identifying COPD from three-dimensional (3-D) pulmonary X-ray CT images. The method has five main steps. First, corresponding positions of lungs in inspiration and expiration are found based on anatomical structures. Then, lung regions are segmented from the CT images by active contours. Next, the left and right lungs are separated using a sequence of morphological operations. Then, parenchyma variations in each lung are found as a relationship between inspiratory and expiratory states. Finally, a classifier is used to decide about the disease and its severity. A t-test is done to evaluate the results. Twelve patients with variable severity of COPD and twelve normal adults were included in this study. The proposed method may assist radiologists in the detection of COPD as a computer aided diagnosis (CAD) system. © 2011 IEEE.

关键词： Pulmonary diseases

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A neuro fuzzy PI controller used for speed control of a direct torque to twelve sectors controlled induction machine drive

A neuro fuzzy PI controller used for speed control of a dire...

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IEEE International Conference on Multimedia Computing and systems (ICMCS)

作者： M. R. Douiri M. Cherkaoui T. Nasser A. Essadki Department of electrical engineering Mohammadia School of Engineers (EMI) Rabat Morocco Department Communication Networks National School of Computer Science and System Analysis ENSIAS Rabat Morocco Department electrical engineering Superior School of Technical Education ENSET Rabat Morocco

This paper presents a new speed controller based on the theory of adaptive fuzzy inference system based on neural (ANFIS) for a direct torque to twelve sectors controlled of the induction motor. The proposed controller integrates fuzzy logic algorithm with a structure of artificial neural network (ANN) five-layer in order to reap the benefits of both methods, the learning abilities of the first and readability and flexibility of the second. The controller replaces the conventional PI is the rule fuzzy inference system with the hybrid learning algorithm. This makes learning the fuzzy system. The performance of the proposed neuro-fuzzy control for induction motor speed was studied at different operating conditions. The simulation study shows the robustness and relevance of control for applications in high performance driving.

关键词： Torque Stators Neurons Torque control Inference algorithms Induction motors Switches

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A Paraphrasing system for transforming regular expressions into honorifics

A Paraphrasing system for transforming regular expressions i...

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23rd International Conference on Computational Linguistics, Coling 2010

作者： Han, Dongli Kamochi, Shuntaro Song, Xin Akegawa, Naoki Hori, Tomomasa Department of Computer Science and System Analysis College of Humanities and Sciences Nihon University Japan

Honorifics in Japanese plays an incredibly important role in all walks of social life. The demand to transform regular expressions in Japanese into honorifics automatically has increased rapidly especially in business situations. This paper reviews existing studies and proposes a system to fill this demand with more practicable functions. The experiment shows the effectiveness of our strategy.

关键词： Pattern matching

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On generalized Fisher informations and Cremér-Rao type inequalities

On generalized Fisher informations and Cremér-Rao type ineq...

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作者： Furuichi, Shigeru Department of Computer Science and System Analysis College of Humanities and Sciences Nihon University 3-25-40 Sakurajyousui Tokyo Setagaya-ku 156-8550 Japan

We define q-Fisher informations and show q-Cramér-Rao type inequalities that the q-Gaussian distribution with special q-variances attains the minimum value of the q-Fisher informations. © 2010 IOP Publishing... 详细信息

关键词： Fisher information matrix

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Topic presentation for a free conversation system based on the web texts

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2010年第3期4卷 7-14页

作者： Han, Dongli Song, Xin Maeda, Kazuki Department of Computer Science and System Analysis College of Humanities and Sciences Nihon University Setagaya-ku Tokyo 156-8550 Japan Department of Computer Science and System Analysis College of Humanities and Sciences Nihon University Setagaya-ku Tokyo 156-8550 Japan Department of Computer Science and System Analysis College of Humanities and Sciences Nihon University Setagaya-ku Tokyo 156-8550 Japan

Most recent researches on non-task-oriented conversation system have focused on how to make the user continue the conversation without getting bored or tired. Some studies propose several strategies enriching the expressive forms of the system's utterances so that the user would not feel monotonous. In this paper, we talk about the significance of presenting topics, and give an approach to provide and control topics for the user in a free conversation system. Specifically, the system extracts topics from the Web texts according to the user's latest interest automatically, and keeps the conversation going on by providing the fabricated topics to the user. At the same time, the system constantly detects the timing when the user might have lost interests in the current topic, and changes the current topic to another one obtained from a topic website. Experiments and questionnaires show that our method works well.

关键词： Surveys

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Schrödinger uncertainty relation with Wigner-Yanase skew information

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Physical Review A 2010年第3期82卷 034101-034101页

作者： Shigeru Furuichi Department of Computer Science and System Analysis College of Humanities and Sciences Nihon University Setagaya-ku Tokyo 156-8550 3-25-40 Sakurajyousui Japan

We shall give an alternative Schrödinger-type uncertainty relation for a quantity representing a quantum uncertainty, introduced by Luo [Phys. Rev. A 72, 042110 (2005)]. Our result improves the Heisenberg-type un...

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An attribute graph grammar enabling narrower drawings of trees

An attribute graph grammar enabling narrower drawings of tre...

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IEEE/International Association for computer and Information science International Conference on computer and Information science

作者： Kirishima, Tadaaki Goto, Takaaki Yaku, Takeo Tsuchida, Kensei Open Information Systems Toyo University Kawagoe-shi Saitama Japan Cooperative Research Center University of Electro-Communications Chofu-shi Tokyo Japan Department of Computer Science and System Analysis College of Humanities and Sciences Nihon University Setagaya-ku Tokyo Japan Faculty of Information Sciences and Arts Toyo University Kawagoe-shi Saitama Japan

ISBN: (纸本)9780769541471

Visualizing information has been one of the main subjects of study in the computer field. Representing objects with diagrams is one approach to visualizing information and its effectiveness has widely been recognized. Thus far, many graph-drawing algorithms have been proposed. Several authors have studied the problem of producing tidy drawings of binary trees - drawings that are aesthetically pleasing and of minimum width. A number of aesthetics has been proposed. We extend this problem to that of general trees in this paper and give an attribute graph grammar that corresponds to general trees. Finally, we propose an application of this grammar. © 2010 IEEE.

关键词： Binary trees

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Visual appearance based document image classification

Visual appearance based document image classification

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IEEE International Conference on Image Processing

作者： Sergey Usilin Dmitry Nikolaev Vassili Postnikov Gerald Schaefer Moscow Institute of Physics and Technology Moscow Russia Institute of Information Transmission Russian Academy of Science Moscow Russia Institute of System Analysis Russian Academy of Science Moscow Russia Department of Computer Science Loughborough University Loughborough UK

In the paper, we present a new method for classifying documents with rigid geometry. Our approach is based on the fast and robust Viola-Jones object detection algorithm. The advantages of our proposed method are high speed, the possibility of automatic model construction using a training set, and processing of raw source images without any pre-processing steps such as draft recognition, layout analysis or binarisation. Furthermore, our algorithm allows not only to classify documents, but also to detect the placement and orientation of documents within an image.

关键词： Classification algorithms Algorithm design and analysis Pensions Object detection Insurance Face detection Training

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