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Spiral wave drifting and meandering are known measures for cardiac instability and arrhythmogenesis. This study was aimed to analyze spiral wave drifting due to temperature heterogeneity that is applied artificially. Our hypothesis is that spatial temperature gradients (STGs) will cause spatial excitability heterogeneity, which in turn will affect the spiral waves' dynamics. This may help to detect,...
Systole and diastole are the fundamental periods of the cardiac cycle and their relative duration is used to evaluate heart function in various physiological and pathological conditions. In clinical practice, systolic-diastolic interval is generally measured using echocardiography. However, recent studies have shown that the QT and TQ intervals of the electrocardiogram (ECG) signal can be used as...
In this paper, a solution to the double curl equation with generalized Coulomb gauge is proposed based on the vectorial representation of the magnetic vector potential. Coulomb gauge is applied to remove the null space of the curl operator and hence the uniqueness of the solution is guaranteed. However, as the divergence operator cannot act on the curl-conforming edge basis functions directly, the...
Electromagnetic scattering from conducting combination target of body of revolution (BoR) and arbitrary structure is analyzed using the integral equation domain decomposition method (IE-DDM). In non-conformal IE-DDM framework, the target is divided into the BoR sub-domain and non-BoR sub-domain according to geometrical feature, where the BoR and RWG basis functions are used respectively. To realize...
This paper uses the present-value model of current account to analyze the reason for China's current account imbalances for the 1982-2010 periods. The results show that the consumption tilting parameter of China's residents in the same period is 1.127. This means that the Chinese residents' consumption is less than the persistent cash flow; residents will transfer their consumption to the future,...
Social networks, personal blog pages, on-line transaction web-sites, expertise web pages and location based social networks provide an attractive platform for millions of users to share opinions, comments, ratings, etc. Having this kind of diverse and comprehensive information leads to difficulties for users to reach the most appropriate and reliable conclusions. Recommendation systems form one of...
We propose a method for automatically determining the amount of each ingredient used to prepare a commercial food using the information provided on its label. The method applies when no part of any ingredient is removed in the preparation process and as long as we can collect the nutrition data (e.g., from the USDA Food Database) for at least some of the ingredients. Using this information, we first...
The article introduces quantum clustering inspired from the quantum mechanics and extended to text analysis. This novel method upgrades the nonparametric density estimation and, different from the latter, quantum clustering constructs the potential function to determine the cluster center instead of the Gaussian kernel function. The result of a comparative experiment proves the advantage of quantum...
This paper reports a computational method to develop customized dual padding to be inserted at certain body parts with double low pressure areas. The results show that both custom made paddings can be created computationally. It is hope that the method can help occupational therapists to design padding that can exert the pressure close to the specific design pressure to the whole of the affected body...
A new group delay representation, which yields value zero for periodic signals irrespective to the initial phase and the relative level of each harmonic component. This new group delay representation provides a unified basis for defining "aperiodicity" in speech sounds. For example, the periodic to noise ratio or harmonic to noise ratio is directly derived from the deviation of this group...
Line drawing can express meaningful information by ignoring less important or distracting details, and thus becomes a popular shape depiction technique. However, existing methods mainly focused on static data. Although we can apply these methods to animated data frame by frame, it is still not applicable for large scale model due to the high computational cost. In this paper, we present a real time...
We consider the problem of joining two long time series based on their most correlated segments. Two time series can be joined at any locations and for arbitrary length. Such join locations and length provide useful knowledge about the synchrony of the two time series and have applications in many domains including environmental monitoring, patient monitoring and power monitoring. However, join on...
Video completion has many applications in movie post-production, such as removing unwanted objects, artifacts, or logos. Most state-of-the-art video completion techniques are time-consuming in order to ensure spatial-temporal coherence. This paper presents a Fast Video Completion (FVC) technique that is based on patch-based synthesis and image registration. FVC generates key frames without the unwanted...
One of the fundamentally required services in the grid environment is resource discovery. The discovery involves the search for appropriate resources that match user requirements. An efficient mechanism for this service still remains a crucial problem especially within a dynamic and scalable environment such as the grid. Majority of the proposed solutions based on centralized and hierarchical approaches...
Recently, with the advent of location-based social networking services (LBSNs), travel planning and location-aware information recommendation based on LBSNs have attracted much research attention. In this paper, we study the impact of social relations hidden in LBSNs, i.e., The social influence of friends. We propose a new social influence-based user recommender framework (SIR) to discover the potential...
Representational competence (RC), defined as "the ability to simultaneously process and integrate multiple external representations (MERs) in a domain", is a marker of expertise in science and engineering. However, the cognitive mechanisms underlying this ability and how this ability develops in learners, is poorly understood. In this paper, we report a fully controllable interface, designed...
Ranking objects is an essential problem in recommendation systems. Since comparing two objects is the simplest type of queries in order to measure the relevance of objects, the problem of aggregating pair wise comparisons to obtain a global ranking has been widely studied. In order to learn a ranking model, a training set of queries as well as their correct labels are supplied and a machine learning...
Labeled data, in real world, is quite scarce compared with unlabeled data. Manual annotation is usually expensive and inefficient. Active learning paradigm is used to handle this problem by identifying the most informative instances to annotate. In this paper, we proposed a new active learning algorithm based on nonparallel support vector machine. Numeric experiment shows the effective performance...
This paper presents a pilot study on an intelligent tutoring system for domain-independent argument making. Students' responses to an open-ended question were collected as the instances for supervised text classification based on the grade given by the instructor using structured outcome of the learning observation taxonomy. The responses were processed using Cohmetrix as well as n-gram models to...
The Barabási-Albert-model is commonly used to generate scale-free graphs, like social networks. To generate dynamics in these networks, methods for altering such graphs are needed. Growing and shrinking is done simply by doing further generation iterations or undo them. In our paper we present four methods to merge two graphs based on the Barabási-Albert-model, and five strategies to reverse them...
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