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Automatic Modulation Classification (AMC) can be used in automatically identifying and classifying the modulation of communication devices. With the application of digital technique, AMC is developed towards higher frequency, which makes a lower probability of correct classification (PCC) at the conventional method. It is necessary for relay-communication to automatically classify the modulation of...
To reliability prediction of products with high reliability and long life, the Step Stress Accelerated Degradation Test (SSADT) is commonly applied. With the motivation of predicting product reliability most precisely, this paper discusses degradation process of products using Birnbaum-Saunders model, and proposes an optimal design method of SSADT. In order to minimize the mean square error (MSE)...
Network mobility (NEMO) based on mobile IP version 6 has been proposed for networks that move as a whole. Route optimization is one of the most important topics in the field of NEMO. The current NEMO basic support protocol defines only the basic working mode for NEMO, and the route optimization problem is not mentioned. Some optimization schemes have been proposed in recent years, but they have limitations...
This paper presents a method to allocate resources for real-time tasks using the "Infrastructure as a Service" model offered by cloud computing. Real-time tasks have to be completed before deadlines, and cloud computing offers selection of resources with different speeds and costs. In cloud computing, resource allocations can be scaled up based on the requirements; this is called elasticity...
Route optimization for nested Mobile Network is an important issue of Network Mobility (NEMO), and prefix delegation is one of the promising optimization schemes. However, the policy of prefix delegation is seldom discussed when this technology is applied in nested NEMO. The problems that may be encountered when applying the basic prefix delegation to nested NEMO are analyzed and identified, and a...
The performance of the traditional clustering algorithm is not always satisfied with the high-dimensional datasets, which make clustering method limited in many application. To solve this problem, Projection Pursuit with LDA index based on Immune Clonal Selection Algorithm is proposed in this paper. Projection pursuit strategy can maintain consistent Euclidean distances between points in the low-dimensional...
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