According to educational psychologists, the efficiency and effectiveness of the instruction process are influenced by the learning style of the student. This paper introduces an approach which integrates the most rele...
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Skin is the most visible part of our body. Skin is said to be the outer layer of the body and it is also said to be the largest organ of our body. So when the skin is affected it is more visible to each and everyone a...
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Arrhythmia has become the most common disease in the medical field. Manual diagnosis of arrhythmia beats is very tedious owing to its nonlinear and complex nature of electrocardiogram (ECG). In this article, a multi-c...
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ISBN:
(纸本)9789881404770
Arrhythmia has become the most common disease in the medical field. Manual diagnosis of arrhythmia beats is very tedious owing to its nonlinear and complex nature of electrocardiogram (ECG). In this article, a multi-class support vector machine (MSVM) based approach is proposed to solve ECG multi-classification problem. Based on the characteristics of the R-R interval, it has the capability of detecting normal heart rate (NOR), left bundle branch block (LBBB), right bundle branch block (RBBB), atrial premature complex (APC) and Ventricular premature beat (VPC) was mainly discussed. Using ECG MIT-BIH database, simulation results show the proposed method achieves a very high classification accuracy.
Role Based Access Control (RBAC) is the most widely used advanced access control model deployed in a variety of organizations. To deploy an RBAC system, one needs to first identify a complete set of roles, including p...
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Our ITiCSE 2002 working group 'Materials Development in Support of Mathematical Thinking' identified the development of an on-line repository as the best mechanism for organizing and disseminating materials pr...
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ISBN:
(纸本)9781450374491
Our ITiCSE 2002 working group 'Materials Development in Support of Mathematical Thinking' identified the development of an on-line repository as the best mechanism for organizing and disseminating materials promoting mathematical thinking in computerscience education.
A very important issue with the e-commerce delivery service in most of the emerging economies including India is the last mile connectivity. Delivering products, booked online to the remote tier-2 and tier-3 cities re...
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This paper deals with organizational patterns (configurations, set-ups) between developers/programmers and testers. We firstly discuss the key differences between these two Information Systems Development (ISD) occupa...
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We study a model of binary decision making when a certain population of agents is initially seeded with two different opinions, “+” and “−,” with fractions p1 and p2, respectively, p1+p2=1. Individuals can reverse...
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We study a model of binary decision making when a certain population of agents is initially seeded with two different opinions, “+” and “−,” with fractions p1 and p2, respectively, p1+p2=1. Individuals can reverse their initial opinion only once based on this information exchange. We study this model on a completely connected network, where any pair of agents can exchange information, and a two-dimensional square lattice with periodic boundary conditions, where information exchange is possible only between the nearest neighbors. We propose a model in which each agent maintains two counters of opposite opinions and accepts opinions of other agents with a power-law bias until a threshold is reached, when they fix their final opinion. Our model is inspired by the study of negativity bias and positive-negative asymmetry, which has been known in the psychology literature for a long time. Our model can achieve a stable intermediate mix of positive and negative opinions in a population. In particular, we show that it is possible to achieve close to any fraction p3, 0≤p3≤1, of “−” opinion starting from an initial fraction p1 of “−” opinion by applying a bias through adjusting the power-law exponent of p3.
User-initiated mobile data trading, where mobile devices trade their mobile data quota via personal hotspots, is a promising approach to improve resource utilization. Most existing works only consider the data size, w...
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Two-dimensional images of fundus blood vessels are easy to obtain with low diagnostic accuracy. This study realized the reconstruction of three-dimensional vascular structures from two-dimensional fundus images to imp...
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