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In cognitive radio network (CRN), secondary users (SUs) suffer from the spectrum sensing data falsification (SSDF) attack launched by malicious users (MUs). To deal with SSDF attack, one of the typical artificial neural networks (ANN): self-organizing map (SOM) neural network is recommended. SOM network possesses the ability of classifying the SUs into categories with different frequency of occurrence...
With the rapid development of mobile games, power consumption and battery life of mobile platforms become a crucial problem, therefore, saving power for display which consumes a lot of power without decreasing the user experience becomes necessary. Content-centric techniques are most commonly used to save display power. However, they cannot be applied to closed-source games as they need to modify...
Configuring uplink-downlink frame structure has played an important role in TD-LTE Heterogeneous Cellular Networks (HCNs), but how to dynamically choose the specific TD-LTE frame structure under the densely deployed scenarios has not been well investigated. In this paper, we proposed a novel dynamic frame configuration scheme which could resolve the above problem with low complexity. Specifically,...
This paper proposes an efficient optimization algorithm to dynamically control the Evolved Packet System (EPS) bearer rates to transport various services between the UE and Evolved Packet Core (EPC) in a LTE Femtocell network scenario. The algorithm is focused on improving the accumulated QoE in the networks and takes joint consideration of limited radio and transport resource so as to leverage the...
The Smith-Waterman is one of the most popular algorithms in the molecular sequence alignment. It is often used to find the best local alignment between two strings by calculating the similarity score of the pair of strings. The algorithm is of great potential to be parallelized and has been employed by a lot of FPGA-based solutions, mostly with the systolic array manner. However, the architecture...
Memory is responsible for a large and increasing fraction of the energy consumed by computers. To address this challenge, memory manufacturers have developed memory devices with different power states. In order to more effectively manage the power states in the operating system, in this paper, we propose a rank-sensitive buddy system (RS-Buddy) which clusters pages together to prolong the idle time...
In the particle images, objects tend to touch, overlap with each other to form clusters. How to separate these clusters into single objects is a vital problem for the counting, feature extraction and analysis in the following process. Separating them by boundary tracking do not need an acute angle and/or the strong density contrast at the points where the objects touched, so it can get a better separating...
Meeting users' deadline constraint is usually the most important goal of workflow scheduling in Grid environment. In order to consider the dynamism of Grid resource, we adopted a stochastic model to describe dynamic workloads of Grid resources. A concept called Deadline Satisfaction Degree of Workflow (DSDW) was defined to represent the probability that a workflow could be completed before its deadline...
In order to fully utilize spectrum, auction-based dynamic spectrum access has become a promising approach which allows unlicensed wireless users to lease unused bands from spectrum license holders. Traditionally, the property of spectrum goes to a unique winner with the highest bid after the auction, and the bidders with low bids would be probably not served. This also may result in spectrum resource...
Neural-networks technique is used to establish a self-adjusted compensator for tracing moving multi-object based on the sampled images. A novel genetic algorithm (NGA) is applied to optimize the weights of neural network rapidly. The algorithm is used for tracking the moving peoples. The results of simulation and experiment are given in the end. The validity of the algorithm is demonstrated.
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