This paper aims to improve the performance of cooperative simultaneous localization and mapping (SLAM) by fusing multiple vehicles' local maps in a distributed manner. The information consensus filter is used to c...
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Although there has been a significant amount of work in the area of stochastic optimal control theory towards the development of new algorithms, the problem of how to control a stochastic nonlinear system remains an o...
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Distributed Object-oriented software has been used in a large number of applications for solving complex problems in different scientific fields like: machine learning, data mining, pattern recognition, image analysis...
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Distributed Object-oriented software has been used in a large number of applications for solving complex problems in different scientific fields like: machine learning, data mining, pattern recognition, image analysis and bioinformatics. However, we need to collect objects into groups such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups. This collection is called cluster analysis or clustering. Each cluster will be assigned to different computer to minimize communication among objects and speedup the execution of tasks. There have been several clustering techniques applied to objects. In this paper, we introduce three algorithms for clustering objects into present numbers of clusters to match the target hardware (i.e. software restructuring). These algorithms, through simulation results, achieve better performance than the existing algorithms as they generate more accurate clusters in less time.
Discrete wavelet transform for signal de-noising to enhance the accuracy of fiber-optic Weight-In-Motion(WIM) system is presented in this paper. The fiber-optic WIM system working principle is demonstrated and the cha...
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According to the character of fiber-optic coupler, its coupling output is sensitive to the variation of coupling region's length. A new kind of coupling fiber-optic vibration sensor is presented base on this princ...
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computer Assisted Diagnosis/Surgery systems provide an indisputable effect on the diagnosis and surgery of hepatic diseases. We developed a CAS system to prepare a virtual environment for a physician so as to interact...
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Everyday human communication relies on a large number of different communication mechanisms like spoken language, facial expressions, body pose or gestures. Facial expressions are one of the main communication mechani...
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ISBN:
(纸本)1902956877
Everyday human communication relies on a large number of different communication mechanisms like spoken language, facial expressions, body pose or gestures. Facial expressions are one of the main communication mechanisms and pass large amounts of information between human dialogue partners [22]. Therefore, the analysis and the synthesis of facial expressions are important steps towards an intuitive human-machine interaction and form valuable research targets. We present a system that tackles both challenges. It relies on a fully automated, model-based, real-time capable approach to distinguish universal facial expressions and their intensities from camera images. Facial expression synthesis is conducted via the robot head EDDIE, a flexible low-cost emotion-display with 23 degrees of freedom. Static facial expressions at continuous intensities are included, as well as smooth transitions based on the circumplex model of affect. Miniature off-the-shelf mechatronic components are used to provide high functionality at low cost. Evaluations conducted in a user-study show that emotions displayed by EDDIE are recognizable by humans very well. By combining facial expression recognition and display on the robot, a first demonstration is presented in which the robot mirrors the human's emotions, as a basis for further research in the field of emotional closed loop systems.
The fuzzy cmeans (FCM) algorithm has been applied in a variety of medical image segmentation applications. The conventional FCM algorithm uses the greylevel information at a single pixel as the feature space and this ...
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In this paper, first results on the analysis of self-adaptive evolution strategies (ES) with intermediate multirecombination on the elliptic model are presented. Equations describing the ES behavior on the ellipsoid w...
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ISBN:
(纸本)9781450300728
In this paper, first results on the analysis of self-adaptive evolution strategies (ES) with intermediate multirecombination on the elliptic model are presented. Equations describing the ES behavior on the ellipsoid will be derived using a deterministic approach and experimentally verified. A relationship between newly obtained formulae for the elliptic model and previous theoretical results will be discussed. Copyright 2010 ACM.
Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling meth...
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ISBN:
(纸本)9788988678213
Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with good generalization even using fewer samples.
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