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The nonlinear dynamic characteristics of cardiovascular rhythms had been applied to evaluate the cardiac health by some studies. Largest Lyapunov Exponent (LLE) is the general index to depict the signals' nonlinearity and several algorithms were developed for its calculation. LLE also evaluated the nonlinearity of the heart electric activities. In previous studies, several LLE algorithms were utilized...
Reliable data congestion analytics in crowdsourced eHealth networks becomes particularly important, especially in big data era, because of wide adaption of ubiquitous crowdsourced healthcare participants. Since a crowdsourced eHealth network has intermittent connectivity to its remote healthcare provider, researchers usually use some well-studied networks to model the novel network, but data congestion...
In Energy-Harvesting Wireless Body Area Networks (EH-WBANs), how to realize a power management strategy to enable lifetime operation is one of the most concern problems. To solve this problem, a feasible solution should be used to manage the harvested energy in sensor nodes in an EH-WBAN. So far, there are extensive studies about this issue for EH-WBANs. Unfortunately, the significant character of...
To reduce time delay of processing data and improve the efficiency of cloud computing, a clustering algorithm based on the principle of minimum distance is proposed to place user-based and item-based data, update cluster centre and the threshold dynamically. Besides, consistent hashing is combined to solve the fault tolerance and scalability issues. In addition, Case-Based Reasoning (CBR) algorithm...
Due to the explosive increment of data in big data era, it is a challenging task to analyze and extract meaningful data for users. Data needs to be timely operated because of the time sensitivity, so it faces enormous pressure in storage and computing. To deal with the problem that it is hard to achieve valuable information from out-of-order streams over big data in short time, a model-matching algorithm...
Due to the unpredictability of continuous data in distributed applications, it is hard for system to deal with data explosion in limited time. As a result, traditional static data storage technology fails to meet the demands for real-time data processing. To improve processing ability, many parallel processing structures are proposed, which brings up the problem that how the parallel machines can...
In this paper, we present an integrated approach to mobile e-Tutoring. Our approach uses constraint-based intelligent tutoring techniques like heuristic search. Using these approaches we have built many interesting mathematics learning applications on mobile devices. In the process of the realization, we also consider the special characteristics of the mobile device, in order to develop advanced algorithms...
By analyzing Binary Exponential Backoff(BEB) algorithm used in IEEE 802.11 standard , an adaptive improved algorithm is proposed to improve the fairness of the channel access for BEB algorithms, It adjusts dynamically the way of increase or decrease of the contention window based on the number of frame which is sent successfully. Using NS2 to analyze the network's fairness of the channel access of...
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