The Experts below are selected from a list of 162 Experts worldwide ranked by ideXlab platform
Nicolas Lomenie - One of the best experts on this subject based on the ideXlab platform.
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point set morphological filtering and semantic spatial Configuration Modeling application to microscopic image and bio structure analysis
Pattern Recognition, 2012Co-Authors: Nicolas Lomenie, Daniel RacoceanuAbstract:High-level spatial relation and Configuration Modeling issues are gaining momentum in the image analysis and pattern recognition fields. In particular, it is deemed important whenever one needs to mine high-content images or large scale image databases in a more expressive way than a purely statistically one. Continuing previous efforts to incorporate structural analysis by developing specific efficient morphological tools performing on mesh representations like Delaunay triangulations, we propose to formalize spatial relation Modeling techniques dedicated to unorganized point sets. We provide an original mesh lattice framework which is more convenient for structural representations of large image data by means of interest point sets and their morphological analysis. The set of designed numerical operators is based on a specific dilation operator that makes it possible to handle concepts like ''between'' or ''left of'' over sparse representations of image data such as graphs. Based on this new theoretical framework for reasoning about images, we are able to process high-level queries over large histopathological images, knowing that digitized histopathology is a new challenge in the field of bio-imaging due to the high-content nature and large size of these images.
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Point Sets Morphological Filtering and Semantic Spatial Configurations Modeling: application to microscopic image analysis
Pattern Recognition, 2012Co-Authors: Nicolas Lomenie, Daniel RacoceanuAbstract:Spatial relation and Configuration Modeling issues are gaining momentum in image analysis and pattern recognition fields in the perspective of mining high-content images or large scale image databases in a more expressive way than purely statistically. Continuing our previous efforts whereby we developed specific efficient morphological tools performing on mesh representation like Delaunay triangulations, we propose to formalize spatial relation Modeling techniques dedicated to unorganized point sets. We provide an original mesh lattice framework more convenient for structural representations of large image data by the means of interest points sets and their morphological analysis. The set of designed numerical operators is based on a specific dilation operator that makes it possible to handle concepts like ''between'' or ''left of'' over sparse representations such as graphs. Then, for the sake of illustration and discussion, we apply these new tools to high-level queries in histo-pathological images.
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Reasoning with spatial relations over high-content images
The 2010 International Joint Conference on Neural Networks (IJCNN), 2010Co-Authors: Nicolas LomenieAbstract:Spatial relation and Configuration Modeling issues are gaining momentum in image analysis and pattern recognition fields in the perspective of mining high-content images or large scale image databases in a more expressive way than purely statistically. Continuing our previous efforts whereby we developed specific efficient morphological tools performing on mesh representation like Delaunay triangulations, we propose to formalize spatial relation Modeling techniques dedicated to unorganized point sets. We provide an original mesh lattice framework more convenient for structural representations of large amount of image data by the means of interest points sets and their morphological analysis. The set of designed numerical operators is based on a specific dilation operator making it possible the representation of concepts like “between” or “left of” over sparse representations such as graphs. Then, for the sake of illustration and discussion, we apply these new tools to high-level queries in microscopic histo-pathological images and structural analysis of macroscopic images.
Daniel Racoceanu - One of the best experts on this subject based on the ideXlab platform.
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point set morphological filtering and semantic spatial Configuration Modeling application to microscopic image and bio structure analysis
Pattern Recognition, 2012Co-Authors: Nicolas Lomenie, Daniel RacoceanuAbstract:High-level spatial relation and Configuration Modeling issues are gaining momentum in the image analysis and pattern recognition fields. In particular, it is deemed important whenever one needs to mine high-content images or large scale image databases in a more expressive way than a purely statistically one. Continuing previous efforts to incorporate structural analysis by developing specific efficient morphological tools performing on mesh representations like Delaunay triangulations, we propose to formalize spatial relation Modeling techniques dedicated to unorganized point sets. We provide an original mesh lattice framework which is more convenient for structural representations of large image data by means of interest point sets and their morphological analysis. The set of designed numerical operators is based on a specific dilation operator that makes it possible to handle concepts like ''between'' or ''left of'' over sparse representations of image data such as graphs. Based on this new theoretical framework for reasoning about images, we are able to process high-level queries over large histopathological images, knowing that digitized histopathology is a new challenge in the field of bio-imaging due to the high-content nature and large size of these images.
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Point Sets Morphological Filtering and Semantic Spatial Configurations Modeling: application to microscopic image analysis
Pattern Recognition, 2012Co-Authors: Nicolas Lomenie, Daniel RacoceanuAbstract:Spatial relation and Configuration Modeling issues are gaining momentum in image analysis and pattern recognition fields in the perspective of mining high-content images or large scale image databases in a more expressive way than purely statistically. Continuing our previous efforts whereby we developed specific efficient morphological tools performing on mesh representation like Delaunay triangulations, we propose to formalize spatial relation Modeling techniques dedicated to unorganized point sets. We provide an original mesh lattice framework more convenient for structural representations of large image data by the means of interest points sets and their morphological analysis. The set of designed numerical operators is based on a specific dilation operator that makes it possible to handle concepts like ''between'' or ''left of'' over sparse representations such as graphs. Then, for the sake of illustration and discussion, we apply these new tools to high-level queries in histo-pathological images.
Jinxiang Dong - One of the best experts on this subject based on the ideXlab platform.
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IMSCCS - Feature Configuration Modeling and problem solving for software product line
Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007), 2007Co-Authors: Jianwei Yin, Dongcai Shi, Jinxiang DongAbstract:Software product line is an effective way to implement software production for mass customization. How to organize and configure the feature set in the feature model of software product line to rapidly produce customized software product meeting individual demands is one of the key problems. Corresponding to the phases of feature selection in the process of software production, the feature Configuration model is constructed to provide a uniform framework of constraint description for feature model and domain application requirement. The results of problem solving are the sets of feature meeting feature constraints and application requirements. The proposed method of Configuration Modeling and problem solving provide a theoretical foundation to rapidly produce software product on the base of Configuration of reusable domain assets.
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APPT - Configuration Modeling based software product development
Lecture Notes in Computer Science, 1Co-Authors: Jianwei Yin, Jinxiang DongAbstract:Software product line is an effective way to implement software production for mass customization. How to organize and configure the software artifacts in software product line to rapidly produce customized software product meeting individual demands is one of the key problems. Corresponding to the phases of feature selection and software artifact binding in the process of software production, the feature Configuration model and software artifact Configuration model are constructed to provide a uniform framework of constraint description for feature model and domain application requirement. The results of problem solving are the sets of feature and software artifact meeting feature constraints and application requirements. The proposed method of Configuration Modeling and problem solving provide a theoretical foundation to rapidly produce software product on the base of Configuration of reusable domain assets.
L. Jofre - One of the best experts on this subject based on the ideXlab platform.
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Multi-antenna Configuration Modeling for massive MIMO V2I
12th European Conference on Antennas and Propagation (EuCAP 2018), 2018Co-Authors: A. Pfadler, C. Ballesteros, J. Romeu, L. JofreAbstract:There is a growing research interest in massive Multiple Input Multiple Output (MIMO) antenna systems because of their higher channel capacity and energy efficiency. New applications in digital mobility and connected car is certainly one of the areas of future development of these systems. In order to study the impact of the different multi-antenna geometries and MIMO modalities in both the vehicle and the fixed base station, a quality Modeling of a realistic scenario is needed. In this paper, study of initial antenna Configurations for both — mobile and fixed — platforms is performed and initial channel parameters and system capability are obtained. Then, several systems and constellations are compared by means of the channel eigenvalues and capacity. The analysis is based on the results of a simulated model of an urban scenario, emulating as a case of study a portion of the city of Barcelona in a realistic environment, comprising of a massive MIMO base station and a car at various positions.
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multi antenna Configuration Modeling for massive mimo v2i
European Conference on Antennas and Propagation, 2018Co-Authors: A. Pfadler, C. Ballesteros, J. Romeu, L. JofreAbstract:Vehicle communications are now emerging towards the 5th Generation Wireless Systems (5G). Shortly, an explosive increase in the number of connected vehicles is expected. This communication is not only for car to car safety reasons, but also for communicating with the environment concerning entertainment and internet. Larger data rates as provided by current Long Term Evolution (LTE) systems are required. Energy efficiency is becoming more and more important as part of the green communication for the 5G network. Consequently, there is a growing research interest in massive Multiple Input Multiple Output (MIMO) antenna systems providing higher channel capacity, spectral and energy efficiency compared to conventional MIMO without beamforming. Also conventional MIMO needs to be investigated for Vehicle to Infrastructure (V2I) communication, since the evolution towards the 5G network is slow hence interim solutions are essential. Furthermore, the impact on the channel capacity for different inter-element spacing for antennas on top of the car is examined. In order to study the impact of different multi-antenna geometries and MIMO modalities in both vehicle and fixed Base Station (BS), a quality Modeling of a realistic scenario is required. The analysis is based on a numerical simulated model of an urban scenario, emulating as a case of study a portion of the city of Barcelona in a realistic environment, comprising of a massive MIMO base station and a car at various positions on a trajectory. Several systems and Configurations are compared by means of the channel eigenvalues and capacity. On top of the vehicle one, two or four monopole antennas are used for the investigation. Corresponding at the BS one, two or four patch antennas are used for conventional MIMO and 64 patch antennas grouped as one, two or four beams for massive MIMO. The following key findings are found for V2I communication in the resented work. For all massive MIMO Configurations the interference for other users is highly reduced. Furthermore, since there is a huge increase of received power for the vehicle without losing the heterogeneity of the eigenvalues, this leads to high channel capacity with less transmitted power. For a Signal to Noise Ratio (SNR) of 12 dB with conventional MIMO 4x4 almost 170% more average channel capacity can be gained with respect to a Single Input Single Output (SISO) in Line of Sight (LOS). For Non Line of Sight (NLOS) it is even 190%, which is very close to the ideal limit. For different inter-element spacing, the channel capacity also depends on the amount of elements in the car. The higher the number of elements, the higher is the achievable channel capacity, but larger inter-element distance is necessary to obtain the optimal performance.
Jianwei Yin - One of the best experts on this subject based on the ideXlab platform.
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IMSCCS - Feature Configuration Modeling and problem solving for software product line
Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007), 2007Co-Authors: Jianwei Yin, Dongcai Shi, Jinxiang DongAbstract:Software product line is an effective way to implement software production for mass customization. How to organize and configure the feature set in the feature model of software product line to rapidly produce customized software product meeting individual demands is one of the key problems. Corresponding to the phases of feature selection in the process of software production, the feature Configuration model is constructed to provide a uniform framework of constraint description for feature model and domain application requirement. The results of problem solving are the sets of feature meeting feature constraints and application requirements. The proposed method of Configuration Modeling and problem solving provide a theoretical foundation to rapidly produce software product on the base of Configuration of reusable domain assets.
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APPT - Configuration Modeling based software product development
Lecture Notes in Computer Science, 1Co-Authors: Jianwei Yin, Jinxiang DongAbstract:Software product line is an effective way to implement software production for mass customization. How to organize and configure the software artifacts in software product line to rapidly produce customized software product meeting individual demands is one of the key problems. Corresponding to the phases of feature selection and software artifact binding in the process of software production, the feature Configuration model and software artifact Configuration model are constructed to provide a uniform framework of constraint description for feature model and domain application requirement. The results of problem solving are the sets of feature and software artifact meeting feature constraints and application requirements. The proposed method of Configuration Modeling and problem solving provide a theoretical foundation to rapidly produce software product on the base of Configuration of reusable domain assets.