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Edge detection in ultrasound images using speckle reducing anisotropic diffusion in Canny edge detector framework

Edge detection in ultrasound images using speckle reducing a...

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15th WSEAS International Conference on Systems, Part of the 15th WSEAS CSCC Multiconference

作者： Chai, Hum Yan Wee, Lai Khin Supriyanto, Eko Department of Clinical Science Engineering Faculty of Health Science and Biomedical Engineering Universiti Teknologi Malaysia UTM Skudai 81310 Johor Malaysia Faculty of Computer Science and Automation Institute of Biomedical Engineering and Informatics Technische Universität Ilmenau 98684 Ilmenau Germany

ISBN: (纸本)9781618040237

Conventional Canny edge detector can detect edges in image with additive noise effectively but not ultrasound image that are corrupted by multiplicative speckle noise which alleviates image resolution resulting in inaccurate characterization of object features. In this paper, we proposed to incorporate the modified SRAD into the Canny edge detector to replace the Gaussian blurring in the conventional Canny edge detector in order to suppress the multiplicative noise effectively while preserving the edge of the object in ultrasound image. The result shows that the proposed method can provide better result than conventional method in a much wider range of parameter values. The proposed method through experimental result indicates that it is capable of producing promising edge detection result in ultrasound image.

关键词： Edge detection

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Extended robust diffusion algorithm for two dimensional ultrasonic images

Extended robust diffusion algorithm for two dimensional ultr...

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15th WSEAS International Conference on Systems, Part of the 15th WSEAS CSCC Multiconference

作者： Wee, Lai Khin Chai, Hum Yan Supriyanto, Eko Department of Clinical Science and Engineering Faculty of Health Science and Biomedical Engineering Universiti Teknologi Malaysia UTM Skudai 81310 Johor Malaysia Faculty of Computer Science and Automation Institute of Biomedical Engineering and Informatics Technische Universität Ilmenau 98684 Ilmenau Germany

ISBN: (纸本)9781618040237

Ultrasound medical imaging is widely used nowadays in clinical application due to its intuitive, convenient, safety, non-invasive, and low cost. However, ultrasound image formation always comes with speckle-noise which will greatly reduce the image quality, and makes the identification and analysis of image detail become more challenging. Hence, we present an extended robust diffusion algorithm for optimum diffusion while retain the edge of image features. Total eight spreading diffusion directions are implemented in the proposed algorithm. Finding showed that this method is able to provide consistent and more objective results.

关键词： Speckle

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Forcasting of renewable energy load with radial basis function (RBF) neural networks

Forcasting of renewable energy load with radial basis functi...

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作者： Dragomir, Otilia Elena Dragomir, Florin Minca, Eugenia Automation Computer Science and Electrical Engineering Department Electrical Engineering Faculty Valahia University of Targoviste 18 Unirii Av. Targoviste Romania

ISBN: (纸本)9789898425751

This paper focus on radial-basis function (RBF) neural networks, the most popular and widely-used paradigms in many applications, including renewable energy forecasting. It provides an analysis of short term load forecasting STLF performances of RBF neural networks. Precisely, the goal is to forecast the DPcg (difference between the electricity produced from renewable energy sources and consumed), for short-term horizon. The forecasting accuracy and precision, in capturing nonlinear interdependencies between the load and solar radiation of these neural networks are illustrated and discussed using a data based obtain from an experimental photovoltaic amphitheatre of minimum dimension 0.4kV/10kW.

关键词： Forecasting

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Embedding of event processing into multi-agent systems decision mechanism

Embedding of event processing into multi-agent systems decis...

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6th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2011

作者： Cobeanu, Ioana Comnac, Vasile Transilvania University of Brasov - Romania Faculty of Electrical Engineering and Computer Science Department of Automation Mihai Viteazu Street number 5 500039 Brasov Romania

ISBN: (纸本)9781424491094

The agent's decision mechanism should take into account only the events which can influence the agent's decision. That is way it is necessary to embed the event processing technology into multi-agent systems decision mechanism. From the stimuli received by the agent, there are selected only the ones which can influence their behaviour and based on this information the complex event processing module gives as output complex events. These complex events result from a series of operations like grouping, aggregation, sorting, filtering, merging, splitting or duplication of events. To study the CEP performance embedded into multi-agent systems decision mechanism the method presented in this paper is applied in a traffic control application. © 2011 IEEE.

关键词： Multi agent systems

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Adaptive spatial harmonic analysis of EEG data using Laplacian eigenspace

Adaptive spatial harmonic analysis of EEG data using Laplaci...

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International Conference on Bioelectromagnetism

作者： Graichen, Uwe Eichardt, Roland Fiedler, Patrique Strohmeier, Daniel Haueisen, Jens Institute of Biomedical Engineering and Informatics Faculty of Computer Science and Automation Ilmenau University of Technology Gustav-Kirchhoff-Str. 2 98693 Ilmenau Germany

ISBN: (纸本)9781424482818

Electroencephalography is an important diagnostic tool for functional investigations of the human brain. Recent EEG measurement technologies provide high numbers of electrodes and sampling rates, which results in a considerable quantity of data. For the analysis of this EEG data, efficient signal analysis and decomposition methods are essential. In this paper a new method for spatial harmonic analysis of EEG data using the Laplacian eigenspace of the meshed surface of electrode positions is presented. The resulting eigenspace enables the spatial harmonic analysis, filtering, denoising and decomposition of EEG data. For a proof of concept, the proposed approach is applied to an 128 channel EEG recording of visual evoked potentials. A set of harmonic spatial basis functions for the EEG electrode setup is estimated. The EEG data are spatially decomposed and low pass filtered using the harmonic spatial basis functions. © 2011 IEEE.

关键词： Harmonic analysis

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Intelligent agent-based modeling of kinesin nanomotor

Intelligent agent-based modeling of kinesin nanomotor

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37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011

作者： Khataee, H.R. Moh Aris, T.N. Sulaiman, M.N. Yousef Ibrahim, M. Department of Computer Science Faculty of Computer Science and Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia Gippsland Regional Automation Centre School of Applied Science and Engineering Monash University Churchill VIC 3842 Australia

ISBN: (纸本)9781612849720

This paper introduces a new methodology to develop comprehensive structural and behavioral models of kinesin nanomotor within its cell using agent technology. In this work, firstly, kinesin nanomotor is introduced as a physical intelligent agent. Then, we have proposed an agent-based structural model of kinesin nanomotor using composite diagram of Unified Modeling Language (UML). We also introduced its heads and tail as the kinesin's sensors and its motor domain as its actuator. An agent-based behavioral model of kinesin nanomotor was developed using Finite State Machine (FSM) diagram of UML and illustrated the internal intelligent and autonomous decision-making process of the nanomotor. The proposed agent-based behavioral FSM model was verified with its mathematical definitions which developed as Deterministic Finite Automaton (DFA) and its respective grammar. The outputs of the proposed grammar were in agreement with the proposed DFA model and traced the behavior of the nanomotor in nature. Also, the behavioral DFA model of the nanomotor was implemented as its software agent model. The proposed agent-based structural and behavioral models of kinesin nanomotor introduced the nanomotor as bio-nanoagent which was able to sense its cell through its sensors, make decision internally, and perform actions upon the cell through its actuator. © 2011 IEEE.

关键词： Actuators

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Bio-nanorobotic in nanotechnology: Structure and potential

Bio-nanorobotic in nanotechnology: Structure and potential

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IEEE International Symposium on Industrial Electronics

作者： Khataee, H.R. Ibrahim, M.Y. Teh Noranis, M.A. Department of Computer Science Faculty of Computer Science and Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia Gippsland Regional Automation Centre School of Applied Science and Engineering Monash University Churchill VIC 3842 Australia

ISBN: (纸本)9781424493128

Bio-nanorobotic systems are made from bio-nanocomponents, particularly proteins. An important group of such protein-based bio-nanocomponents are myosin protein nanomotors that are involved in a wide variety of cellular tasks from cellular transports to muscle contractions. Realization of behavior and properties of the myosin protein nanomotors as bio-nanocomponents could form the basis of bottom-up approaches for constructing active bio-nanorobotic systems. This is the long-term goal of the bio-nanorobotic. In this paper we have presented an engineering point of view to the structure and behavior of both categories of myosin nanomotors, muscle and non-muscle. Myosin nanomotors are self-guiding systems. They have evolved to bind to their polymer filaments and are able to recognize the direction of movement by moving only in one direction of the polarized filaments. Myosin nanomotors also convert the chemical energy into mechanical work directly rather than via an intermediate energy. We have also pointed out to the potential applications of this nanomotor. The myosin's perfect structure, small size, smart and high efficiency indicate that myosin nanomotor can be an ideal bio-nanocomponent for bio-nanorobotic systems. © 2011 IEEE.

关键词： Proteins

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Trajectory tracking control of pendulum with variable length by partial energy shaping

Trajectory tracking control of pendulum with variable length...

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作者： Xin, Xin Shinji, Tatsuya Yamasaki, Taiga Sun, Changyin Faculty of Computer Science and System Engineering Okayama Prefectural University 111 Kuboki Soja Okayama 719-1197 Japan School of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9783902661937

This paper concerns a trajectory tracking control problem for a pendulum with variable length, which is an underactuated mechanical system of two degrees-of-freedom with a single input of adjusting the length of the pendulum. We aim to study whether it is possible to design a time-invariant control law to pump appropriate energy into the variable-length pendulum for achieving a desired swing motion (trajectory) with given desired energy and length of the pendulum. First, we show that it is difficult to avoid singular points in the controller designed by using the conventional energy-based control approach in which the total mechanical energy of the system is controlled. Second, we propose a tracking controller free of singular points by shaping only the kinetic energy of rotation and the potential energy of the pendulum and not utilizing the kinetic energy related to the motion along the rod. Third, we analyze globally the motion of the pendulum and clarify the stability issue of some closed-loop equilibrium points;and we also provide some conditions on control parameters for achieving the tracking objective. Finally, we present numerical simulation results to validate the presented theoretical results. © 2011 IFAC.

关键词： Pendulums

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Diagnosis of industrial systems driven by electrical machines with a low cost platform

Diagnosis of industrial systems driven by electrical machine...

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8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2011

作者： Munteanu, Radu Moga, Daniel Petreus, Dorin Stroia, Nicoleta Barabas, Zsolt Hrebenciuc, Florin Faculty of Electrical Engineering Technical University of Cluj- Napoca Romania Faculty of Automation and Computer Science Romania Faculty of Electronics and Telecommunication Power Electronics Romania Power Electronics Society Romania Control Engineering Technical University of Cluj-Napoca Romania Electrical Engineering Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781424493036

A low cost hardware platform consisting of a measurement system, a communication system and a data processing system is presented. Wired and wireless sensors are developed for supporting motor current signature analysis (MCSA), vibration signature analysis (VSA) and operational temperature monitoring. A "plug and play" software application is implemented for allowing remote computers to share this sensor data using OPC technology. Using Matlab as an OPC client, time-domain and frequency-domain signal processing techniques are used in order to determine the signatures associated with faults of locally or remote operating electrical machines. © 2011 IEEE.

关键词： MATLAB

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22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

作者： Xiao, Yanshan Liu, Bo Yin, Jie Cao, Longbing Zhang, Chengqi Hao, Zhifeng School of Computer Guangdong University of Technology Guangzhou China Faculty of Engineering and IT University of Technology Sydney NSW Australia College of Automation Science and Engineering South China University of Technology Guangzhou China School of Automation Guangdong University of Technology Guangzhou China Information Engineering Laboratory CSIRO ICT Centre Australia

ISBN: (纸本)9781577355120

Positive and unlabelled learning (PU learning) has been investigated to deal with the situation where only the positive examples and the unlabelled examples are available. Most of the previous works focus on identifying some negative examples from the unlabelled data, so that the supervised learning methods can be applied to build a classifier. However, for the remaining unlabelled data, which can not be explicitly identified as positive or negative (we call them ambiguous examples), they either exclude them from the training phase or simply enforce them to either class. Consequently, their performance may be constrained. This paper proposes a novel approach, called similarity-based PU learning (SPUL) method, by associating the ambiguous examples with two similarity weights, which indicate the similarity of an ambiguous example towards the positive class and the negative class, respectively. The local similarity-based and global similarity-based mechanisms are proposed to generate the similarity weights. The ambiguous examples and their similarity-weights are thereafter incorporated into an SVM-based learning phase to build a more accurate classifier. Extensive experiments on real-world datasets have shown that SPUL outperforms state-of-the-art PU learning methods.

关键词： Artificial intelligence

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