Yifei Wei^{1, *}, Yinxiang Qu¹, Min Zhao¹, Lianping Zhang², F. Richard Yu³

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1515-1532, 2020, DOI:10.32604/cmc.2020.09130 - 30 April 2020

Abstract Device-to-Device (D2D) communication is a promising technology that can reduce the burden on cellular networks while increasing network capacity. In this paper, we focus on the channel resource allocation and power control to improve the system resource utilization and network throughput. Firstly, we treat each D2D pair as an independent agent. Each agent makes decisions based on the local channel states information observed by itself. The multi-agent Reinforcement Learning (RL) algorithm is proposed for our multi-user system. We assume that the D2D pair do not possess any information on the availability and quality of the… More >

Anman Zhang¹, Bohan Li^{1, 2, 3, *}, Wenhuan Wang¹, Shuo Wan¹, Weitong Chen⁴

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1499-1514, 2020, DOI:10.32604/cmc.2020.09962 - 30 April 2020

Abstract Active learning has been widely utilized to reduce the labeling cost of supervised learning. By selecting specific instances to train the model, the performance of the model was improved within limited steps. However, rare work paid attention to the effectiveness of active learning on it. In this paper, we proposed a deep active learning model with bidirectional encoder representations from transformers (BERT) for text classification. BERT takes advantage of the self-attention mechanism to integrate contextual information, which is beneficial to accelerate the convergence of training. As for the process of active learning, we design an More >

Mei Yang¹, Yuanjie Zheng^{1, 2, *}, Weikuan Jia^{1, *, Yunlong He3, Tongtong Che1, Jinyu Cong1}

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1485-1498, 2020, DOI:10.32604/cmc.2020.09940 - 30 April 2020

Abstract Optical Coherence Tomography (OCT) is very important in medicine and provide useful diagnostic information. Measuring retinal layer thicknesses plays a vital role in pathophysiologic factors of many ocular conditions. Among the existing retinal layer segmentation approaches, learning or deep learning-based methods belong to the state-of-art. However, most of these techniques rely on manual-marked layers and the performances are limited due to the image quality. In order to overcome this limitation, we build a framework based on gray value curve matching, which uses depth learning to match the curve for semi-automatic segmentation of retinal layers from More >

Yongjun Ren^{1, 2}, Jian Qi¹, Yaping Cheng², Jin Wang^{3, *}, Osama Alfarraj⁴

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1471-1483, 2020, DOI:10.32604/cmc.2020.06745 - 30 April 2020

Abstract Since the British National Archive put forward the concept of the digital continuity in 2007, several developed countries have worked out their digital continuity action plan. However, the technologies of the digital continuity guarantee are still lacked. At first, this paper analyzes the requirements of digital continuity guarantee for electronic record based on data quality theory, then points out the necessity of data quality guarantee for electronic record. Moreover, we convert the digital continuity guarantee of electronic record to ensure the consistency, completeness and timeliness of electronic record, and construct the first technology framework of More >

Yuhang Long¹, Wensheng Tang^{1, *}, Bo Yang^{1, *}, Xinyu Wang², Hua Ma¹, Hang Shi¹, Xueyu Cheng³

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1445-1469, 2020, DOI:10.32604/cmc.2020.09944 - 30 April 2020

Abstract Currently, the top-rank-k has been widely applied to mine frequent patterns with a rank not exceeding k. In the existing algorithms, although a level-wise-search could fully mine the target patterns, it usually leads to the delay of high rank patterns generation, resulting in the slow growth of the support threshold and the mining efficiency. Aiming at this problem, a greedy-strategy-based top-rank-k frequent patterns hybrid mining algorithm (GTK) is proposed in this paper. In this algorithm, top-rank-k patterns are stored in a static doubly linked list called RSL, and the patterns are divided into short patterns and long… More >

Yang Tao¹, Gang Hu¹, Bingnan Hou¹, Zhiping Cai^{1, *}, Jing Xia¹, Cheang Chak Fong²

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1433-1443, 2020, DOI:10.32604/cmc.2020.09850 - 30 April 2020

Abstract Alias resolution, mapping IP addresses to routers, is a critical step in obtaining a network topology. The latest work on alias resolution is based on special fields in the packet, such as IP ID, port number, etc. However, for security reasons, most network devices block packets for setting options, and some related fields exist only in IPv4, so these methods cannot be used for alias resolution of IPv6. In order to solve the above problems, we propose an alias analysis method based on delay sequence analysis. In this article, we present a new model to… More >

Ming Wan¹, Jinfang Li¹, Jiangyuan Yao^{2, *}, Rongbing Wang^{1, 3}, Hao Luo¹

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1415-1431, 2020, DOI:10.32604/cmc.2020.09692 - 30 April 2020

Abstract In process industries, the characteristics of industrial activities focus on the integrality and continuity of production process, which can contribute to excavating the appropriate features for industrial anomaly detection. From this perspective, this paper proposes a novel state-based control feature extraction approach, which regards the finite control operations as different states. Furthermore, the procedure of state transition can adequately express the change of successive control operations, and the statistical information between different states can be used to calculate the feature values. Additionally, OCSVM (One Class Support Vector Machine) and BPNN (BP Neural Network), which are More >

Tiejun Wang¹, Liu Zhuang², Julian M. Kunkel³, Shu Xiao¹, Changming Zhao^{1, *}

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1399-1413, 2020, DOI:10.32604/cmc.2020.09701 - 30 April 2020

Abstract The Global-Regional Integrated forecast System (GRIST) is the nextgeneration weather and climate integrated model dynamic framework developed by Chinese Academy of Meteorological Sciences. In this paper, we present several changes made to the global nonhydrostatic dynamical (GND) core, which is part of the ongoing prototype of GRIST. The changes leveraging MPI and PnetCDF techniques were targeted at the parallelization and performance optimization to the original serial GND core. Meanwhile, some sophisticated data structures and interfaces were designed to adjust flexibly the size of boundary and halo domains according to the variable accuracy in parallel context. More >

Jin Zhou¹, Haochen Wang¹, Di Sun^{1, *}, Siqiang Xu¹, Meng Lv¹, Feifei Yu²

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1387-1398, 2020, DOI:10.32604/cmc.2020.09865 - 30 April 2020

Abstract This paper focuses on the distribution of passenger flow in Huoying Station, Line 13 of Beijing subway system. The transformation measures taken by Line 13 since operation are firstly summarized. Then the authors elaborate the facilities and equipment of this station, especially the node layout and passenger flow field. An optimization scheme is proposed to rapidly distribute the passenger flow in Huoying Station by adjusting the operation time of the escalator in the direction of Xizhimen. The authors adopt Queuing theory and Anylogic simulation software to simulate the original and the optimized schemes of Huoying More >

Lin Zhou^{1, *}, Siyuan Lu¹, Qiuyue Zhong¹, Ying Chen^{1, 2}, Yibin Tang³, Yan Zhou³

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1373-1386, 2020, DOI:10.32604/cmc.2020.010182 - 30 April 2020

Abstract Speaker separation in complex acoustic environment is one of challenging tasks in speech separation. In practice, speakers are very often unmoving or moving slowly in normal communication. In this case, the spatial features among the consecutive speech frames become highly correlated such that it is helpful for speaker separation by providing additional spatial information. To fully exploit this information, we design a separation system on Recurrent Neural Network (RNN) with long short-term memory (LSTM) which effectively learns the temporal dynamics of spatial features. In detail, a LSTM-based speaker separation algorithm is proposed to extract the… More >