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Volume 26 No. 4
05 August 2021

Yijing Chen,Bo Pang,Guolin Shao,Guozhu Wen,Xingshu Chen

2021, 26(4): 387-402.   doi:10.26599/TST.2020.9010021
Abstract ( 115 HTML ( 14   PDF(10212KB) ( 104 )   Save

Botnets based on the Domain Generation Algorithm (DGA) mechanism pose great challenges to the main current detection methods because of their strong concealment and robustness. However, the complexity of the DGA family and the imbalance of samples continue to impede research on DGA detection. In the existing work, the sample size of each DGA family is regarded as the most important determinant of the resampling proportion; thus, differences in the characteristics of various samples are ignore...

Ji Li,Xin Pei,Xuejiao Wang,Danya Yao,Yi Zhang,Yun Yue

2021, 26(4): 403-416.   doi:10.26599/TST.2020.9010014
Abstract ( 49 HTML ( 5   PDF(5926KB) ( 50 )   Save

Global Positioning System (GPS) trajectory data can be used to infer transportation modes at certain times and locations. Such data have important applications in many transportation research fields, for instance, to detect the movement mode of travelers, calculate traffic flow in an area, and predict the traffic flow at a certain time in the future. In this paper, we propose a novel method to infer transportation modes from GPS trajectory data and Geographic Information System (GIS) informat...

Liping Wang,Wenhui Fan

2021, 26(4): 417-425.   doi:10.26599/TST.2020.9010006
Abstract ( 25 HTML ( 2   PDF(1189KB) ( 40 )   Save

To reduce intermediate levels of splitting process and enhance sampling accuracy, a multilevel splitting algorithm for quick sampling is proposed in this paper. Firstly, the selected area of the elite set is expanded to maintain the diversity of the samples. Secondly, the combined use of an adaptive difference evolution algorithm and a local searching algorithm is proposed for the splitting procedure. Finally, a suite of benchmark functions are used for performance testing. The results indica...

Xuesong Li,Fengyuan Ren,Bailong Yang

2021, 26(4): 426-439.   doi:10.26599/TST.2019.9010080
Abstract ( 21 HTML ( 4   PDF(2836KB) ( 26 )   Save

Recently, 10 Gbps or higher speed links are being widely deployed in data centers. Novel high-speed packet I/O frameworks have emerged to keep pace with such high-speed links. These frameworks mainly use techniques, such as memory preallocation, busy polling, zero copy, and batch processing, to replace costly operations (e.g., interrupts, packet copy, and system call) in native OS kernel stack. For high-speed packet I/O frameworks, costs per packet, saturation throughput, and latency are perf...

Hongma Liu,Yali Li,Shengjin Wang

2021, 26(4): 440-451.   doi:10.26599/TST.2019.9010079
Abstract ( 3 HTML ( 0   PDF(2812KB) ( 11 )   Save

A Brain-Computer Interface (BCI) aims to produce a new way for people to communicate with computers. Brain signal classification is a challenging issue owing to the high-dimensional data and low Signal-to-Noise Ratio (SNR). In this paper, a novel method is proposed to cope with this problem through sparse representation for the P300 speller paradigm. This work is distinguished using two key contributions. First, we investigate sparse coding and its feasibility for brain signal classification....

Xiaohe Hu,Yang Xiang,Yifan Li,Buyi Qiu,Kai Wang,Jun Li

2021, 26(4): 452-463.   doi:10.26599/TST.2020.9010018
Abstract ( 12 HTML ( 1   PDF(8318KB) ( 387 )   Save

Network monitoring is receiving more attention than ever with the need for a self-driving network to tackle increasingly severe network management challenges. Advanced management applications rely on traffic data analyses, which require network monitoring to flexibly provide comprehensive traffic characteristics. Moreover, in virtualized environments, software network monitoring is constrained by available resources and requirements of cloud operators. In this paper, Trident, a policy-based n...

Jian Guo,Hong Liang,Songpu Ai,Chao Lu,Haochen Hua,Junwei Cao

2021, 26(4): 464-474.   doi:10.26599/TST.2020.9010019
Abstract ( 10 HTML ( 1   PDF(5728KB) ( 18 )   Save

Electrical power network analysis and computation play an important role in the planning and operation of the power grid, and they are modeled mathematically as differential equations and network algebraic equations. The direct method based on Gaussian elimination theory can obtain analytical results. Two factors affect computing efficiency: the number of nonzero element fillings and the length of elimination tree. This article constructs mapping correspondence between eliminated tree nodes a...

Shaojun Guo,Feng Liu,Xiaohu Yuan,Chunrong Zou,Li Chen,Tongsheng Shen

2021, 26(4): 475-483.   doi:10.26599/TST.2020.9010011
Abstract ( 10 HTML ( 1   PDF(14612KB) ( 8 )   Save

The Histograms of Oriented Gradients (HOG) can produce good results in an image target recognition mission, but it requires the same size of the target images for classification of inputs. In response to this shortcoming, this paper performs spatial pyramid segmentation on target images of any size, gets the pixel size of each image block dynamically, and further calculates and normalizes the gradient of the oriented feature of each block region in each image layer. The new feature is called ...

Mohammad Hashem Haghighat,Jun Li

2021, 26(4): 484-495.   doi:10.26599/TST.2020.9010022
Abstract ( 22 HTML ( 1   PDF(2444KB) ( 17 )   Save

Several security solutions have been proposed to detect network abnormal behavior. However, successful attacks is still a big concern in computer society. Lots of security breaches, like Distributed Denial of Service (DDoS), botnets, spam, phishing, and so on, are reported every day, while the number of attacks are still increasing. In this paper, a novel voting-based deep learning framework, called VNN, is proposed to take the advantage of any kinds of deep learning structures. Considering s...

Baoyu Liu,Xiaoping Zou,Dan Chen,Taoran Liu,Yuhua Zuo,Jun Zheng,Zhi Liu,Buwen Cheng

2021, 26(4): 496-504.   doi:10.26599/TST.2020.9010013
Abstract ( 9 HTML ( 2   PDF(5881KB) ( 6 )   Save

In recent years, Perovskite Light-Emitting Diodes (PeLEDs) have received considerable attention in academia. However, with the development of PeLEDs, commercial applications of full-color PeLED technology are largely limited by the progress of blue-emitting devices, due to the uncontrollably accurate composition, unstable properties, and low luminance. In this article, we add Cesium chloride (CsCl) to the quasi-two-dimensional (quasi-2D) perovskite precursor solution and achieve the relativel...

Jiajun Lin,Liyan Liang,Xu Han,Chen Yang,Xiaogang Chen,Xiaorong Gao

2021, 26(4): 505-522.   doi:10.26599/TST.2020.9010015
Abstract ( 17 HTML ( 1   PDF(15260KB) ( 9 )   Save

In general, a large amount of training data can effectively improve the classification performance of the Steady-State Visually Evoked Potential (SSVEP)-based Brain-Computer Interface (BCI) system. However, it will prolong the training time and considerably restrict the practicality of the system. This study proposed a SSVEP nonlinear signal model based on the Volterra filter, which could reconstruct stable reference signals using relatively small number of training targets by transfer learni...

Yan Huo,Jingjing Fan,Yingkun Wen,Ruinian Li

2021, 26(4): 523-535.   doi:10.26599/TST.2020.9010020
Abstract ( 15 HTML ( 0   PDF(5555KB) ( 9 )   Save

In this paper, we design a friendly jammer selection scheme for the social Internet of Things (IoT). A typical social IoT is composed of a cellular network with underlaying Device-to-Device (D2D) communications. In our scheme, we consider signal characteristics over a physical layer and social attribute information of an application layer simultaneously. Using signal characteristics, one of the D2D gadgets is selected as a friendly jammer to improve the secrecy performance of a cellular devic...

Xuan Zhao,Zhongdao Wang,Lei Gao,Yali Li,Shengjin Wang

2021, 26(4): 536-547.   doi:10.26599/TST.2020.9010024
Abstract ( 6 HTML ( 0   PDF(10270KB) ( 7 )   Save

In this study, we address the problems encountered by incremental face clustering. Without the benefit of having observed the entire data distribution, incremental face clustering is more challenging than static dataset clustering. Conventional methods rely on the statistical information of previous clusters to improve the efficiency of incremental clustering; thus, error accumulation may occur. Therefore, this study proposes to predict the summaries of previous data directly from data distri...

Miao Wang,Wentao Han,Wenguang Chen

2021, 26(4): 548-557.   doi:10.26599/TST.2020.9010016
Abstract ( 15 HTML ( 2   PDF(1298KB) ( 10 )   Save

Online Judge (OJ) systems are a basic and important component of computer education. Here, we present MetaOJ, an OJ system that can be used for holding massive programming tests online. MetaOJ is designed to create a distributed, fault-tolerant, and easy-to-scale OJ system from an existing ordinary OJ system by adding several interfaces into it and creating multiple instances of it. Our case on modifying the TUOJ system shows that the modification adds no more than 3% lines of code and the pe...

Zewei Sun,Hanwen Liu,Chao Yan,Ran An

2021, 26(4): 558-564.   doi:10.26599/TST.2020.9010027
Abstract ( 14 HTML ( 2   PDF(312KB) ( 24 )   Save

With the ever-increasing number of natural disasters warning documents in document databases, the document database is becoming an economic and efficient way for enterprise staffs to learn and understand the contents of the natural disasters warning through searching for necessary text documents. Generally, the document database can recommend a mass of documents to the enterprise staffs through analyzing the enterprise staff’s precisely typed keywords. In fact, these recommended documents pla...