Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-05-18 Cooperative journals: 《计算机应用研究》
Abstract： In order to solve the problems of excessive system cost and long response time of user-oriented service function chain deployment algorithm in mobile edge computing networks, this paper proposed a joint optimization design method for service function chain cost and delay. First, in the construction stage of the service function chain, according to the node location and resource status, the algorithm selected the current best node to reduce the delay between VNFs (virtualized network functions) to improve the response time of the service function chain. Secondly, in the service function chain deployment stage, due to the limited mapping resources, this paper used the node selection algorithm to determine the optimal node mapping order when serving the mapping nodes and selected the shortest weighted path as the communication link between VNFs. The experimental simulation results show that, compared with the existing solutions, the method can effectively reduce the delay and deployment cost, and can significantly improve the success rate of service function chain deployment.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2020-09-28 Cooperative journals: 《计算机应用研究》
Abstract： Unmanned aerial vehicles (UAVs) are envisioned to become an important part of the new generation wireless networks, due to their advantages of flexible deployment and high-speed transmission. A wireless communication network with multiple UAV base stations and multiple users has been considered. In the network, due to the limited spectrum resource, the backhaul links of the UAV base stations and the data links of the users share the same spectrum. In order to use the spectrum resource efficiently and improve the communication performance of the users, the bandwidth and power of the backhaul and data links as well as the flight trajectory of the UAV base stations have been jointly optimized to maximize the minimum average rate of all users. This joint optimization is subject to the UAVs’ mobility, the total spectrum bandwidth, and the total transmit power. The involved joint optimization problem is non-convex, and thus it is difficult to find its optimal solution. An efficient algorithm has been proposed to obtain a high-quality suboptimal solution of it. Simulation results show that the minimum user rate achieved by the proposed joint optimization algorithm is significantly higher than that of the benchmark schemes.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-11-29 Cooperative journals: 《计算机应用研究》
Abstract： Feature selection technology plays an important role in big data analysis, image processing, bioinformatics and other fields. In practical applications, the objectives of reducing the classification error rate and reducing the number of extracted features for facilitating the use of subsequent data, are often two conflicting goals. The multi-object particle swarm optimization based on crowding, mutation, dominance for feature selection (CMDPSOFS) is a kind of bi-objective optimization algorithm with the minimal number of features and classification error rate in feature-oriented selection applications. The algorithm uses three different mutation mechanisms for maintaining swarm diversity and balancing global and local search capabilities. However, the uniform variation increases the randomness of the algorithm, resulting in the generation of worse solutions, which reduces the convergence speed of the algorithm. This paper proposed an improved CMDPSOFS-II algorithm to introduce the mutation and selection operations of differential evolution algorithm into the CMDPSOFS algorithm. The experimental results show that the CMDPSOFS-II algorithm is superior to the original method in feature selection and better balances global and local search capabilities.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-24 Cooperative journals: 《计算机应用研究》
Abstract： Aiming at the problem of how to more efficiently use the distributed features that convolutional neural network have learned from training images, this paper proposed a ROI(regions of interest) region secondary voting mechanism for facial expression recognition. Firstly, it divided into the image a series of ROI images, and input it into the convolutional neural network for training. Then, it input into the ROI images of the test image the convolutional neural network, getting all ROI images’ results. Lastly, it used the secondary voting mechanism to determine the final category of test image. In addition, aiming at the problem of convolutional neural network cannot learn spatial position information such as rotation, this paper introduced the STN (spatial transformer network) to make convolutional neural network useful in complex condition. Experiments show the ROI region secondary voting mechanism can more effectively use the distributed features which learned by convolutional neural network, compared with the method of voting directly using ROI images, the accuracy is increased by 1.1%. The introduction of STN can effectively improve the robustness of convolutional neural network, compared with non-introduced STN networks, the accuracy is increased by 1.5%.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》
Abstract： Colorization of manga sketch is an time-consuming and labor-intensive but significant task in both manga and game development. Therefore, for this task, this paper proposed a method to color manga sketch in unsupervised based conditional generative adversarial network(CGAN) . In the experiments, adopting a generator with an U-Net structure, constraining the model with L1 term, in the adversarial training between the generator and the discriminator, model continuously learns and optimizes the mapping from manga sketch to its corresponding colorful image. At last, GAN that generated model from training could be used to color manga sketch. Experiments results are shown to demonstrate the effectiveness of rapid colorization for manga sketch as well as the plausibility of visual effects.
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