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Volume 24 No. 03
05 June 2019

Chao Xue, Chuang Lin, Jie Hu

2019, 24(03): 249-261.   doi:10.26599/TST.2018.9010069
Abstract ( 153 HTML ( 8   PDF(1810KB) ( 161 )   Save

Rapid advancement of distributed computing systems enables complex services in remote computing clusters. Massive applications with large-scale and disparate characteristics also create high requirements for computing systems. Cloud computing provides a series of novel approaches to meet new trends and demands. However, some scalability issues have to be addressed in the request scheduling process and few studies have been conducted to solve these problems. Thus, this study investigates the s...

Ke Lin, Shangkai Gao, Xiaorong Gao

2019, 24(03): 262-270.   doi:10.26599/TST.2018.9010010
Abstract ( 156 HTML ( 3   PDF(1572KB) ( 109 )   Save

For Brain-Computer Interface (BCI) systems, improving the Information Transfer Rate (ITR) is a very critical issue. This study focuses on a Steady-State Visually Evoked Potential (SSVEP)-based BCI because of its advantage of high ITR. Unsupervised Canonical Correlation Analysis (CCA)-based method has been widely employed because of its high efficiency and easy implementation. In a recent study, an ensemble-CCA method based on individual training data was proposed and achieved an excellent per...

Luning Liu, Xin Chen, Zhaoming Lu, Luhan Wang, Xiangming Wen

2019, 24(03): 271-280.   doi:10.26599/TST.2018.9010124
Abstract ( 108 HTML ( 1   PDF(3506KB) ( 85 )   Save

Under the situations of energy dilemma, energy Internet has become one of the most important technologies in international academic and industrial areas. However, massive small data from users, which are too scattered and unsuitable for compression, can easily exhaust computational resources and lower random access possibility, thereby reducing system performance. Moreover, electric substations are sensitive to transmission latency of user data, such as controlling information. However, the t...

Haowei Zhang, Junwei Xie, Jiaang Ge, Junpeng Shi, Zhaojian Zhang

2019, 24(03): 281-290.   doi:10.26599/TST.2018.9010052
Abstract ( 237 HTML ( 0   PDF(6313KB) ( 87 )   Save

An efficient task-scheduling algorithm in the Digital Array Radar (DAR) is essential to ensure that it can handle a large number of requested tasks simultaneously. As a solution to this problem, in this paper, we propose an optimization model for scheduling DAR tasks using a hybrid approach. The optimization model considers the internal task structure and the DAR task-scheduling characteristic. The hybrid approach integrates a particle swarm optimization algorithm with a genetic algorithm and...

Xiaohu Yuan, Shaojun Guo, Chunwen Li, Bin Lu, Shuli Lou

2019, 24(03): 291-300.   doi:10.26599/TST.2018.9010048
Abstract ( 110 HTML ( 4   PDF(4315KB) ( 69 )   Save

The centroid location of a near infrared star always deviates from the real center due to the effects of surrounding radiation. To determine a more accurate center of a near infrared star, this paper proposes a method to detect the star’s saliency area and calculate the star’s centroid via the pixels only in this area, which can greatly decrease the effect of the radiation. During saliency area detection, we calculated the boundary connectivity and gray similarity of every pixel to estimate h...

Zhiming Xu, Yu Bai, Kuangyu Liu, Shuning Wang

2019, 24(03): 301-316.   doi:10.26599/TST.2018.9010089
Abstract ( 82 HTML ( 0   PDF(5075KB) ( 67 )   Save

This paper works on a heuristic algorithm with determinacy for the global optimization of Continuous PieceWise Linear (CPWL) programming. The widely applied CPWL programming can be equivalently transformed into D.C. programming and concave optimization over a polyhedron. Considering that the super-level sets of concave piecewise linear functions are polyhedra, we propose the Hill Tunneling via Weighted Simplex Centroid (HTWSC) algorithm, which can escape a local optimum to reach the other sid...

Amina Belhassena, Hongzhi Wang

2019, 24(03): 317-332.   doi:10.26599/TST.2018.9010087
Abstract ( 137 HTML ( 0   PDF(15625KB) ( 22 )   Save

With the rapid development and wide use of Global Positioning System in technology tools, such as smart phones and touch pads, many people share their personal experience through their trajectories while visiting places of interest. Therefore, trajectory query processing has emerged in recent years to help users find their best trajectories. However, with the huge amount of trajectory points and text descriptions, such as the activities practiced by users at these points, organizing these dat...

Jingchun Cheng, Yali Li, Jilong Wang, Le Yu, Shengjin Wang

2019, 24(03): 333-345.   doi:10.26599/TST.2018.9010090
Abstract ( 193 HTML ( 3   PDF(1663KB) ( 108 )   Save

Gender classification is an important task in automated face analysis. Most existing approaches for gender classification use only raw/aligned face images after face detection as input. These methods exhibit fair classification ability under constrained conditions, in which face images are acquired under similar illumination with similar poses. The performances of these methods may deteriorate when face images show drastic variances in poses and occlusion as routinely encountered in real-worl...

Wenchang Zhang, Fuchun Sun, Hang Wu, Chuanqi Tan, Yuzhen Ma

2019, 24(03): 360-370.   doi:10.26599/TST.2018.9010111
Abstract ( 149 HTML ( 0   PDF(6314KB) ( 110 )   Save

The control of a high Degree of Freedom (DoF) robot to grasp a target in three-dimensional space using Brain-Computer Interface (BCI) remains a very difficult problem to solve. Design of synchronous BCI requires the user perform the brain activity task all the time according to the predefined paradigm; such a process is boring and fatiguing. Furthermore, the strategy of switching between robotic auto-control and BCI control is not very reliable because the accuracy of Motor Imagery (MI) patte...