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The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
EDA (Electronics Design Automation) is becoming ever more important with the continuous scaling of semiconductor devices and the growing complexities of their use in circuits and systems. Demands for lower-power, higher-reliability and more agile electronic systems raise new challenges to both design and design automation of such systems. For the past five decades, the primary focus of research track at DAC has been to showcase leading-edge research and practice in tools and methodologies for the design of circuits and systems.
The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
IEEE Transactions on Medical Imaging, 2006
Electronics Letters, 2008
Presented is a new version of logarithmic transform for image enhancement: fused logarithmic transform (fLog). Based on multi-resolution spline fusion technology, a composite image with a significant improvement in image contrast can be synthesised by fusing the source image and its logarithmic version. Cascaded with other image enhancement techniques, such as histogram equalisation, the fused logarithmic transform could turn the ...
International Conference on Medical Information Visualisation - BioMedical Visualisation (MedVis'06), 2006
The efficient detection and quantification of rolling leukocytes within intravital microscopy is of both theoretical and practical interest. Currently, methods exist for tracking rolling leukocytes in vivo which rely on manual detection of the cells. In this paper, a new technique inspired by the teardrop shape of the rolling leukocytes is presented for accurately detecting rolling leukocytes. It is based ...
IEEE International Conference on Image Processing 2005, 2005
We provide a new comparison between hexagonal and orthogonal lattices, based on approximation theory. For each of the lattices, we select the "natural" spline basis function as generator for a shift-invariant function space; i.e., the tensor-product B-splines for the orthogonal lattice and the non-separable hex-splines for the hexagonal lattice. For a given order of approximation, we compare the asymptotic constants ...
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
We consider the problem of interpolating a continuous-time signal from a set of uniformly spaced discrete-time samples. One of the prime methods of interpolation is based on the use of uniform B-splines. We introduce a new interpolation approach using nonuniform B-splines as interpolation kernels. We show, both theoretically and through simulation results, that using nonuniform B-splines for interpolation of a ...
Presented is a new version of logarithmic transform for image enhancement: fused logarithmic transform (fLog). Based on multi-resolution spline fusion technology, a composite image with a significant improvement in image contrast can be synthesised by fusing the source image and its logarithmic version. Cascaded with other image enhancement techniques, such as histogram equalisation, the fused logarithmic transform could turn the enhanced contrast into more visible details.
The efficient detection and quantification of rolling leukocytes within intravital microscopy is of both theoretical and practical interest. Currently, methods exist for tracking rolling leukocytes in vivo which rely on manual detection of the cells. In this paper, a new technique inspired by the teardrop shape of the rolling leukocytes is presented for accurately detecting rolling leukocytes. It is based on a feature score, the gradient inverse coefficient of variation (GICOV), which serves to discriminate rolling leukocytes from a cluttered environment. The leukocyte detection process consists of three sequential steps: The first step utilizes a novel teardrop shape matching algorithm to coarsely identify the leukocytes by finding the leukocytes resembling teardrops with a locally maximal GICOV. Second and third steps involve evolution of B-spline snake starting from each of the teardrops found in the first step to refine the leukocytes boundaries and associated GICOV score, and retaining contours with high GICOV scores. The detection process is observed to yield superior results compared to other methods currently in use. The deformation information inherent in the teardrop shapes gives valuable information about the extent to which the cells are adhering to the endothelium.
We provide a new comparison between hexagonal and orthogonal lattices, based on approximation theory. For each of the lattices, we select the "natural" spline basis function as generator for a shift-invariant function space; i.e., the tensor-product B-splines for the orthogonal lattice and the non-separable hex-splines for the hexagonal lattice. For a given order of approximation, we compare the asymptotic constants of the error kernels, which give a very good indication of the approximation quality. We find that the approximation quality on the hexagonal lattice is consistently better, when choosing lattices with the same sampling density. The area sampling gain related to these asymptotic constants quickly converges when the order of approximation of the basis functions increases. Surprisingly, nearest-neighbor interpolation does not allow to profit from the hexagonal grid. For practical purposes, the second-order hex-spline (i.e., constituted by linear patches) appears as a particularly useful candidate to exploit the advantages of hexagonal lattices when representing images on them.
We consider the problem of interpolating a continuous-time signal from a set of uniformly spaced discrete-time samples. One of the prime methods of interpolation is based on the use of uniform B-splines. We introduce a new interpolation approach using nonuniform B-splines as interpolation kernels. We show, both theoretically and through simulation results, that using nonuniform B-splines for interpolation of a signal from uniform samples can result in a higher quality of interpolation with respect to uniform B-splines, at the same computational cost.
In this work, an interpolation filter using truncated raised cosine pulses for image resizing, is investigated. The rectangular-truncated raised cosine pulse with rolloff factor /spl beta//spl ges/0.5 and truncation length T/spl ges/4T/sub s/ is shown to be a good choice for interpolation. The experimental result reveals that with a comparable computational complexity, the truncated raised cosine interpolator is superior to the widely used interpolator with Keys cubic function. The result also reveals that the performance of the truncated raised cosine interpolator is only slightly worse than that of the least-square cubic B-spline interpolator, but with much lower computational or hardware complexity.
This paper introduces a novel multiscale approach to estimate local multiple orientations, which are underlying in the discrete grid of an image. The basic ingredients are two: on the one hand, multiscale directional openings by line segments of variable length, which produce directional signatures for various scales, with the estimation of the orientation properties; and on the other hand, multiple peak detection by means of b-spline interpolation of the directional signatures. Experimental results on real and synthetic images show the applications of the proposed method based on mathematical morphology, which can detect local multiple orientations in textured images at different scales with high accuracy.
Many image authentication methods have been proposed, in recent years, to protect image authenticity and integrity, but most have ignored the dangers of counterfeit attack. In this paper, we propose a new image authentication method, using a vector projection technique, for safety and security in digital systems based on a PKI cryptographic framework. In this method, the vector projective square (VPS) pair of each block can be calculated by a vector projection technique, and we prove that an attacker cannot forge a counterfeit image with the same VPS pair as the original image. In addition to addressing counterfeit attacks, we also propose a new remedial algorithm which applying non-uniform B-spline to repair the modified image. This paper, therefore, has five goals: (1) to verify image authentication, (2) to verify the integrity of an image received, (3) to locate any parts that were illegally modified or counterfeited, (4) to provide security against counterfeit attacks and (5) to repair the illegally modified parts.
Time-domain methods such as the multiresolution time-domain (MRTD) method have been proven to be an efficient high-order modelling technique for electromagnetic structure problems. In this paper, based on the similar procedure, a MRTD-like finite-difference time-domain method is presented with the use of sine function as the space-domain basis function. The resultant formulations allow easy implementation and computation of expansion coefficients. Stability analysis, dispersion study and the preliminary numerical results indicate that the proposed method is effective and efficient in reducing computational memory and time like MRTD while maintaining the same level of accuracy.
Empirical mode decomposition is one of effective new methods to process signals disturbed by noise, which has been attracted extensively attention and applied successfully in many engineering fields. Usually, cubic spline interpolation operation is used to fit the upper and lower envelopes of given signals in the traditional EMD approach. However, the ill behavior often appears on the edges of the signals, which influences the quality of signal processing. Aiming at the above case, by use of the random walk property of a time series composed by the wavelet coefficients of lots of periodic signals, the paper applies the hybrid filter which consists of wavelet transform and Kalman filter to extending two edges of signal by forwards forecasting or backwards smoothing, and create these new upper and lower envelopes to overcome shortcoming arose from foregone methods. Computer simulation validates the effectiveness of the new technique presented in the letter
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