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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.
AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.
2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
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 ...
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
IEEE Power Engineering Review, 1991
Proceedings of the 41st SICE Annual Conference. SICE 2002., 2002
In a case of emergency, we need to grasp the situation and make correct assessment quickly. The picture taken from monitoring camera is important information in the emergent situation. In our research, we attempt to build a support system for identifying the picture of the monitoring camera by dealing with the pictures as spatio-temporal data. We proposed a method, which ...
18th International Conference on Pattern Recognition (ICPR'06), 2006
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course of search individual items are added/removed to/from one of the subsets in the subset system one at a time to maximize an overall criterion. Different tasks of prototype search type ...
1989 American Control Conference, 1989
Modelling error can be the cause of bad performance when optimal feed-rate profiles computed for a particular model are applied to the actual plant. This paper suggests the modification of the input trajectory from batch to batch, by using information from previous batches to modify the trajectories that are applied to the subsequent ones. The proposed approach does not required ...
Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), 2001
Customers are demanding shorter lead times and higher product variety without making concessions on product price and quality. To remain competitive, a manufacturing system needs to react adequately to perturbations on its environment and uncertainties in manufacturing processes. The paper touches upon three research topics for the development of a scheduler based on manufacturing system states: development of a simulator ...
Algorithms that Play and Design Games
Computational Intelligence Creating Procedural Content for Games - Joseph Alexander Brown
Formal Methods in Robotics
2011 IEEE Awards James H. Mulligan, Jr. Education Medal - Raj Mittra
Learning from Katrina: Search and Rescue Robots for Natural Disasters
New Immersive Mediums - The Search For Egg Yolk: IEEE VICS 2018
IMS 2012 Microapps - Panel Session: Device Characterization Methods and Advanced RF/ Microwave Design
LDA to Find User Archetypes for Search & Matching
Learning with Kernels for Streams of Structured Data
Computer-Assisted Audiovisual Language Learning
An Introduction to Computational Intelligence in Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff
Bari-Bari-II: Jack-Up Rescue Robot with Debris Opening Function
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics
Keeping Up With IEEE Xplore: Insider Tips to Improve Your Productivity
IEEE Xplore: Insider Tips to Improve Your Productivity - Part 1
IMS 2011 Microapps - Practical Methods for Estimating the Q of Spiral Inductors Using EM Planar Simulators
Some Recent Work in Computational Intelligence for Software Engineering
Micro-Apps 2013: Alternative Methods and Optimization Techniques for Vector Modulation
In a case of emergency, we need to grasp the situation and make correct assessment quickly. The picture taken from monitoring camera is important information in the emergent situation. In our research, we attempt to build a support system for identifying the picture of the monitoring camera by dealing with the pictures as spatio-temporal data. We proposed a method, which displays those pictures on one virtual large wall. For this presentation, the search key in our system is the location and the size of this large screen and from which direction to look. First we developed a general algorithm to index spatio-temporal data to get an idea for developing the algorithm for this search key.
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course of search individual items are added/removed to/from one of the subsets in the subset system one at a time to maximize an overall criterion. Different tasks of prototype search type can be solved in this alternative way depending on suitable criterion definition. The usability of the concept is shown on keyword extraction example. Further possible applications are suggested
Modelling error can be the cause of bad performance when optimal feed-rate profiles computed for a particular model are applied to the actual plant. This paper suggests the modification of the input trajectory from batch to batch, by using information from previous batches to modify the trajectories that are applied to the subsequent ones. The proposed approach does not required the remodeling of the process, but instead it redermines the input profile directly, so that a steady improvement is accomplished from batch to batch.
Customers are demanding shorter lead times and higher product variety without making concessions on product price and quality. To remain competitive, a manufacturing system needs to react adequately to perturbations on its environment and uncertainties in manufacturing processes. The paper touches upon three research topics for the development of a scheduler based on manufacturing system states: development of a simulator for the simulation of a manufacturing system, the clustering method for manufacturing system states, and the search method for the most compatible dispatching rule to a manufacturing system state. Finally, the results of simulation experiments are given to compare the proposed method with other scheduling methods. The result shows that the superiority of the proposed scheduler. In the process of developing the scheduler, a general methodology for the development of a simulator and the clustering method for system states were developed. The proposed methodology for the development of simulators seems to be useful for developing simulators for various domains. The clustering method of system states and the knowledge acquisition method for scheduling rules are shown to be efficient for the development of an autonomous real-time scheduling system.
With network intrusion and crime means becoming complex and diverse, the traditional packet feature matching cannot detect intrusion behavior completely. So it is urgent to reassemble network stream for analyzing network traffic more deeply. In this paper, we present a real-time and lossless network stream reassembly mechanism. First we detailedly explain the design policies of reassembly mechanism, and describe the reassembly implementation procedure. Several applicable search methods are discussed, and their performances are contrasted by experiment results. Finally we evaluate the real-time and lossless properties of the reassembly mechanism with network stream in typical network environment. Experiment results illustrate that the reassembly mechanism can satisfy application requirements.
The authors present a method for automating the generation of search targets used in finding borders of the left ventricle (LV) from digital-subtraction angiography (DSA) images and thus further automating LV-border determination. This method uses a large clinical database of LV borders to generate a probability surface of expected border locations. A composite image of all observed border points is used to create a set of extraction lines that is overlaid on the LV of interest. Border points are found by using a dynamic search on the density matrix formed by extracting pixel values at the points defined by the extraction matrix. User interaction is only needed to define the valve plane, confirm the final border, and make corrections if needed. LV contours then be used to find end-diastole and end-systole volume and ejection fraction.<<ETX>>
Satellite based positioning systems like GPS (Global Positioning System) exist in every moment of our lives. GPS signal is broadcasted by Link1 (L1) and Link2 (L2) frequencies, separately. L1 is assigned to civil users, while L2 is especially for military users. GPS signal consists of navigation message and PRN codes (C/A for civil and P-code for military) which is an identity for satellite. PRN codes are also used to determine the range between the satellite and the receiver. The navigation message added on PRN code, must be known to find the position of GPS receiver on Earth. Identification of PRN code is the most important process to calculate the receiver's position. A correlation process in receiver is implemented to find PRN code changing for each satellite. Three common methods are available for the correlation process. These methods are Serial Search, Parallel Frequency Space Search and Parallel Code Phase Search Acquisition. Parallel Code Phase Search is faster and ended in less steps compared to other two methods. The aim of this study is to present the correlation technics used for the acquisition of satellite signal in GPS receivers. For this purpose, a correlation example is simulated in MATLAB environment to demonstrate how the correlation process in GPS receiver is performed.
In case of emergency, we need to grasp the situation and make correct assessment quickly. The video data taken from monitoring cameras are important information in the emergent situation. In our research, we built a support system for identifying video data of monitoring cameras. The system collects video data from the net-cameras through the Internet and deals with them as spatiotemporal data. To search video data, we proposed an intuitive search method for users. In the method, we assume a virtual wall in the city. This method allows users to search for the video data, which is recorded during a period, and records a virtual wall in a certain direction. The users set the above search-key on the map, and it will be transformed to the search-key for the spatiotemporal access structure to proceed the search. When the system shows the search result, the video data, which is easy to understand the whole scene, will be displayed first. As the horizontal direction of the screen corresponds to the virtual wall's direction in the real world, the user can narrow down the search result in the horizontal direction of the screen. We built a prototype in Java, Javaservlet and C++.
This paper proposes a new low bit-rate speech coding algorithm based on a multi-pulse excitation technique. In the algorithm, an excitation signal in a frame, which includes several pitch periods, is effectively represented by pulses during only one pitch period. Excitation signal for other pitch periods in the frame is reproduced by interpolating the pulses. From several experiments to evaluate the new coder, it is found that the new coder produces natural-sounding speech at low bit rates. Subjective evaluation results show that the new coder at 4.8kb/s attains good speech quality which is almost equivalent to that for 6bit/sample/µ-law PCM.
his standard revises and enhances the VHDL language reference manual (LRM) by including a standard C language interface specification; specifications from previously separate, but related, standards IEEE Std 1164 -1993,1 IEEE Std 1076.2 -1996, and IEEE Std 1076.3-1997; and general language enhancements in the areas of design and verification of electronic systems.
Research Scientist / Senior Research Scientist