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In this paper, we discuss alternative paths towards system support for Pervasive Computing that are based on a balanced combination between global services and situated devices that we hypothesise will be the key to widespread deployment of Pervasive Computing: global services provide functionality that can be relevant anywhere, thus obviating the need to create dedicated services on a case-by-case...
In this paper, we present a new approach dealing with mobile object tracking in a video sequence using primitive geometric forms in real time. Our system aims to reduce execution time while searching for correspondent region, by considering some strategical neighbors (in addition to the current position) to find the object of interest, while readapting search region's size to handle false detections.
Vast amounts of information are generated, shared, and processed in tactical networks. In such systems, human cooperation is a crucial component for effective processing of information. However, human behavior is often mediated by social and organizational relationships, i.e. trust between team members and system level characteristics, such as network delays. The impact these different processes have...
We proposed a model that is capable of handling the patterns of ambiguous recurring tasks. If we can grasp the pattern, it would be useful for prediction of the tasks which might happen in the future, and also be the hint on handing them over to co-workers. To utilize our model, we have developed a concrete method for manipulation or visualization of the modeled data. This method is useful to build...
Situation-aware case-based decision support (SACBDS) systems comprise two distinct parts: situation awareness (SA) and case-based reasoning (CBR). The SA part keeps a finite history of the time space information of the domain and uses rules to interpret cues from the environment with respect to an individual user's context, and then anticipates future situations by performing statistical inference...
Three-dimensional Finite Difference in Time Domain (FDTD) method has been used to calculate Specific Absorption Rate (SAR) induced in the head and hand for a handheld mobile phone. Both the head and hand are modeled using Digital Imaging and Communication in Medicine (DICOM) based anthropomorphic phantom voxel data considering the electrical parameters of different anatomical internal structures of...
The small-world phenomenon describes the behavior of very large networks with a relatively small number of hops between any two nodes. The main characteristics of such networks are small average path length (L) and large clustering coefficient (C). In this work, a model of the small-world network from Watts and Strogatz is created by using the simulation platform OMNeT++. The generated network is...
Failing hearts undergo electrical and structural remodeling, setting the stage for malignant arrhythmias. Specifically, failing hearts show enhanced late Na+ current (INaL) and cellular uncoupling. In the present study, the effects of these changes on transmural dispersion of repolarization (TDR), on action potential duration (APD) gradient and on the safety factor for conduction (SF) were simulated...
Under pathological conditions, such as LQT3, drugs that selectively block late Na+ current (INaL) exert antiarrhythmic effects by reducing action potential duration (APD). Some of these compounds also block the delayed rectifier K+ current (IKr) exerting an opposite effect. This study was designed to determine the preclinical safety assessment of ranolazine and an experimental compound (A) with multi-ion...
Canonical views are referred to the classical three-quarter views of a 3D object, always preferred by human beings, because they are stable and able to produce more meaningful and understandable images for the viewer. Unlike existing methods to measure features in the 3D space for view selection, this paper proposes to measure features on the viewing plane, taking into account the influence of feature...
We present an unsupervised method of learning action symbols from video data, which self-tunes the number of symbols to effectively build hierarchical activity grammars. A video stream is given as a sequence of unlabeled segments. Similar segments are incrementally grouped to form a hierarchical tree structure. The tree is cut into clusters where each cluster is used to train an action symbol. Our...
We use images that have been collected using an Internet search engine to train color name models for color naming and recognition tasks. Considering color histogram bands as being words of an image and the color names as classes, we use the supervised latent Dirichlet allocation to train our model. To pre-process the training data, we use state-ofthe art salient object detection and a Kullback-Leibler...
Early Recognition of human activities is a highly desirable functionality for many visual intelligent systems. However, in computer vision, very few work have been devoted to this challenging and interesting task. In this paper, we address human activity early recognition as a pattern recognition problem of time series data. A new model called ARMA-HMM is introduced to integrate both the predictive...
In this paper, we propose a new region-based saliency model to simulate the human visual attention. First, we construct a pixel-level fully-connected graph representation for an image, and perform normalized cut to segment the image based on the proximity and similarity principles. After obtaining image regions, we reconstruct a region-based fully-connected graph. Based on the saliency principle “center-surround...
In a pattern recognition sequence consisting of alternating steps of interactive labeling, classifier training, and automated labeling (e.g., CAVIAR systems), the choice of sample size at each step affects the overall amount of human interaction necessary to label all the samples correctly. The appropriate splits depend on the error rate of the classifier as a function of the size of the training...
Recently, fusion of low- and high-dimensional approaches shows its success in the generic human motion tracking. However, how to choose the trackers adaptively according to the motion types is still a challenging problem. This paper presents a trackers sampling approach for generic human motion tracking using both low- and high-dimensional trackers. Gaussian Process Dynamical Model(GPDM) is trained...
Features of the ECG P-wave remain largely unexplained. P-wave notching is thought to relate to distinct events of right and left atrial activations. Wandering pacemaker is known to give rise to distinct P wave morphologies. In this study, we develop a 3D computational model of the human atria that is incorporated into a 3D human torso model which can simulate realistic P-waves across the torso. The...
This study aimed to elucidate the mechanisms underlying the divergent action potential (AP) morphology observed in human atrial cells vs. tissue, with simulations employing computational models. Two modifications were introduced to the cell model, based on conditions inherent to in vitro AP measurements. First, we accounted for the loss of hERG ion channels, which mediate the rapid delayed rectifier...
Atrial fibrillation (AF) is the most common cardiac arrhythmia, and is mainly sustained by reentrant circuits and rapid ectopic activity. In the present study, we performed computer simulations using a 3D human atrial model including fibre orientation, electrophysiological heterogeneities and tissue anisotropy. Membrane kinetics were described as in the human atrial action potential model by Maleckar...
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