the proceedings contain 99 papers. the topics discussed include: hybrid localization for ubiquitous services;DE2: localization withthe rotating RSS using a single beacon;user travelling pattern prediction via indisti...
ISBN:
(纸本)9781479924813
the proceedings contain 99 papers. the topics discussed include: hybrid localization for ubiquitous services;DE2: localization withthe rotating RSS using a single beacon;user travelling pattern prediction via indistinct cellular data mining;BodyGuards: a clairvoyant location predictor using frequent neighbors and markov model;privacy preserving path recommendation for moving user on location based service;constructing adaptive indoor radio maps for dynamic wireless environments;exploring a new dimension in code mobility for ubiquitous embedded systems;PathSim: a tool for finding minimal energy device operation sequence for reaching a target context in a smart-home;using virtualization and guacamole/VNC to provide adaptive user interfaces to disabled people in cloud computing;towards physical activity recognition using smartphone sensors;and uOS: a resource rerouting middleware for ubiquitous games.
Due to the physical characteristics that the magnetic dipole target signal (MOTS) decays withthe third power of distance and the fact that the measured data contain usually environmental magnetic noise such as diurna...
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Due to the physical characteristics that the magnetic dipole target signal (MOTS) decays withthe third power of distance and the fact that the measured data contain usually environmental magnetic noise such as diurnal variation noise and cultural noise, it is very difficult to detect long-distance magnetic targets. In this paper, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) algorithm which is an improved version of empirical mode decomposition (EMD) algorithm and patternrecognition algorithm are combined to construct a novel magnetic target detection algorithm(CEEMDAN-PR). CEEMDAN algorithm can effectively decompose the measured magnetic signal into multiple intrinsic mode functions (IMFs), and reduce the aliasing effect between modes. then, the pattern formed by the characteristics of magnetic dipole signal is used to match the signal reconstructed by the sum of several IMFs to obtain the optimal reconstructed signal. Some simulation tests illustrate that this algorithm has good detection performance. (C) 2021the Authors. Published by Elsevier B.V.
the automatic identification of an individual using physiological/behavioral traits connected to a person is Biometrics. patternrecognition is used in biometric authentication (identification/verification) systems to...
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In this paper, we evaluate the performance of widely applied soft computing classifiers, in folk dance recognition problems, emphasizing on posture identification. In particular, the goal is to identify postures which...
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ISBN:
(纸本)9781450352277
In this paper, we evaluate the performance of widely applied soft computing classifiers, in folk dance recognition problems, emphasizing on posture identification. In particular, the goal is to identify postures which are characteristic for the dance performed, based on exploiting simultaneously the information of 24 body joints, acquired by a Kinect II sensor. the data sets described 6 folk dances, and their variations, originating from Greece.
this work presents a biometric approach for spider identification based on transform domain and Support Vector Machines as classifier. the dataset is composed by 185 images of spider web. the goal of this work is to u...
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ISBN:
(纸本)9781538630778
this work presents a biometric approach for spider identification based on transform domain and Support Vector Machines as classifier. the dataset is composed by 185 images of spider web. the goal of this work is to use the structure of spider web for identifying the kind of spider. the experiments were done using two different of segmentation blocks and the analysis of the whole and center of the spider web. the best accuracy is reached after to run the different combinations.
the dimensionality and the amount of data that need to be processed when intensive data streams are classified may occur prohibitively large. the aim of this paper is to analyze Johnson-Linden-strauss type random proj...
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ISBN:
(纸本)9783642132070
the dimensionality and the amount of data that need to be processed when intensive data streams are classified may occur prohibitively large. the aim of this paper is to analyze Johnson-Linden-strauss type random projections as an approach to dimensionality reduction in pattern classification based on K-nearest neighbors search. We show that in-class data clustering allows us to retain accuracy recognition rates obtained in the original high-dimensional space also after transformation to a lower dimension.
A categorization of important image/vision algorithms that can be efficiently implemented on a research multiprocessor called Viscom is presented. Extended C-language constructs are developed and used to specify ortho...
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A categorization of important image/vision algorithms that can be efficiently implemented on a research multiprocessor called Viscom is presented. Extended C-language constructs are developed and used to specify orthogonal multiprocessing algorithms. Several early vision algorithms are illustrated, including convolution, optical flow, and 2-D transforms. Motion analysis is modeled by an artificial neural network, which can also be efficiently mapped onto Viscom. Advantages of using Viscom for early vision and neural computing are discussed, and the associated hardware/software development experiences are reported.
this Volume 1 of 3 of the conference proceedings contains 136 papers. Topics discussed include fuzzy filters for image processing, modeling with words, causality is undefinable toward a theory of hierarchical definabi...
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this Volume 1 of 3 of the conference proceedings contains 136 papers. Topics discussed include fuzzy filters for image processing, modeling with words, causality is undefinable toward a theory of hierarchical definability, patternrecognition and image processing, electronic and robotic systems, soft computing and hybrid systems, control systems and mathematics.
Very often, the recognition of a pattern is accompanied by a cognitive process of interpretation and understanding. In the arts and sciences, as well as in our daily lives, we learned patterns from nature and create n...
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In this paper, we present a novel approach to Machine Translation (MT) using syntactic patternrecognition (PR) methods. Our aim is to evaluate the possibility of using syntactic PR techniques in this mature field, an...
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ISBN:
(纸本)9783319591629
In this paper, we present a novel approach to Machine Translation (MT) using syntactic patternrecognition (PR) methods. Our aim is to evaluate the possibility of using syntactic PR techniques in this mature field, and to identify any potential benefits that can be gleaned by such an approach. To make use of syntactic PR techniques, we propose a system that performs string-matching to pair English sentence structures to Japanese (the specific languages, namely English and Japanese, were chosen because their sentence structures are completely dissimilar. this, however, proves the point that such syntactic methods will be applicable for other pairs of languages too.) structures -as opposed to matching strings in and of themselves, and to thus facilitate translation between the languages. In order to process the sentence structures of either language as a string, we have created a representation that replaces the tokens of a sentence withtheir respective Part-of-Speech tags. Further, to perform the actual string-matching operation, we make use of the OptPR algorithm, a syntactic award-winning PR scheme that has been proven to achieve optimal accuracy, and that also attains the information theoretic bound. through our experiments, we show that our implementation obtains superior results to that of a standard statistical MT system on our data set. Our results provide the additional guarantee of generating a known sentence structure in the target language. With further research, this system could be expanded to have a more complete coverage of the languages worked with. the incorporation of such PR techniques in MT, in general, and the OptPR algorithm, in particular, are both pioneering.
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