Table of Content

    18 October 2018, Volume 52 Issue 10 Previous Issue    Next Issue
    Modeling and Characterization of Interconnects with Carbon Nanotubes for Integrated Circuits
    TANG Min,WU Linsheng, LI Xiaochun,MAO Junfa
    2018, 52 (10):  1135-1141.  doi: 10.16183/j.cnki.jsjtu.2018.10.001
    Abstract ( 1053 )   Save
    In recent years, the nano-scale interconnection scheme based on carbon-based materials has attracted widespread attention and provided a new solution for the interconnect technology of next-generation integrated circuits. Based on the progress made by domestic and foreign researchers in the modeling and characterization of carbon-based interconnections, combined with the related results achieved by our group, the equivalent circuit modeling, as well as the time-delay and thermal characteristics of carbon nanotube (CNT) interconnects in integrated circuit are studied. A systematic comparison is made between the CNT interconnects and traditional copper ones. Finally, a brief introduction of carbon-based heterogeneous interconnect technology and some prospects are given.
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    Modeling Research for Blast Furnace Smelting Process Based on Smelting Mechanism, Operation Data and Expert Knowledge
    LI Junpeng,HUA Changchun,GUAN Xinping
    2018, 52 (10):  1142-1154.  doi: 10.16183/j.cnki.jsjtu.2018.10.002
    Abstract ( 32 )   Save
    Blast furnace smelting process is characterized by strong nonlinearity, large time delay and under regulation, and its interior is a complex dynamic system with multiphase and multi field coupling. Therefore, it is difficult to achieve a reliable blast furnace model by only mechanism modeling or simply data driven modeling. Based on the measured data of a new type of blast furnace sensor, and combining the blast furnace smelting mechanism, operation data and expert experience, several local models of blast furnace have been built. The models have been tested by actual data of blast furnace and the results are running on the No. 2 BF of Liuzhou Iron and Steel Company.
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    Review of Technology and Development in the Power Applications Based on Second-Generation High-Temperature Superconductors
    JIN Zhijian,HONG Zhiyong,ZHAO Yue,LI Zhuyong,HUANG Zhen,WU Wei,ZHANG Zhiwei,LI Xiaofen,YAO Linpeng,SHENG Jie
    2018, 52 (10):  1155-1165.  doi: 10.16183/j.cnki.jsjtu.2018.10.003
    Abstract ( 43 )   Save
    With the high upper critical magnetic field, high operating temperature and high critical current density, the second-generation high-temperature superconducting materials represented by Yttrium-Barium-Copper-Oxide have drawn worldwide attention since they were discovered in the last century. In recent years, with the gradual maturity of superconducting strip fabrication technology and the continuous exploration of application technology, the application of second-generation high-temperature superconducting materials in various industries is moving from laboratory to practical application. This paper will combine the main trend of applied superconductivity and concentrate on introducing the main progress of power applications based on second-generation high-temperature superconducting materials.
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    Research Status and Prospect of Inertia Control for Large Scale Wind Turbines
    SHAO Haoshu,CAI Xu
    2018, 52 (10):  1166-1177.  doi: 10.16183/j.cnki.jsjtu.2018.10.004
    Abstract ( 29 )   Save
    With the rapid development of wind power, wind power penetration is continually increasing and has reached over 50% in certain areas. However, rotor motions of wind turbines are decoupled from system frequency owing to the isolation effects of wind power converters, which makes wind turbines provide no inertia support for power system,lowers system equivalent inertia and even has serious influences on system frequency stability. Inertia control technology of large scale wind turbines aims to enable active inertia response and frequency damping ability for wind turbines by using kinetic energy of wind turbine rotors. This paper summarizes the main technical routes of inertia control in large scale wind turbine system, introduces engineering and research status of inertia control in DFIG and PMSM wind turbine system concerning stability analysis, improvement of control system, performance analysis and evaluation, and finally looks ahead to the urgent problems and technical requirements which remain to be solved.
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    Modeling and Digital Simulation of DC Step-Up Collection System for Large-Scale Photovoltaic Power Plants
    XI Xinze,HUANG Wentao,TAI Nengling
    2018, 52 (10):  1178-1188.  doi: 10.16183/j.cnki.jsjtu.2018.10.005
    Abstract ( 27 )   Save
    This paper focuses on large-scale photovoltaic power plants and its collection system. By analyzing the advantages and disadvantages of various connection methods in photovoltaic power plants, a new DC step-up collection system topology for large-scale photovoltaic power plants is proposed. Based on modular multilevel converter (MMC), the topology and control of high-ratio DC/DC and DC/AC converters are addressed. The DC step-up collection system is modeled in RT-LAB. According to the principle of DC faults in the model, the simulation results are analyzed and the fault characteristic is concluded. This paper is useful to explore the new design of the DC step-up collection system and the control of the multiple converters based on the MMC.
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    Application of X-ray Nondestructive Flaw Detection Technology in Transmission Line’s Press Fittings
    WANG Wei,YUAN Qi,GU Junjie,TAI Nengling
    2018, 52 (10):  1189-1194.  doi: 10.16183/j.cnki.jsjtu.2018.10.006
    Abstract ( 32 )   Save
    This paper analyzes the feasibility of X-ray nondestructive flaw detection technology applying to transmission line in theory and gets different kinds of defect by X-ray nondestructive testing and tension testing. These test results provide reliable evidences for the quality judging of press fittings by X-ray nondestructive flaw detection technology and solve the problem which is single and not intuitive in the detection of transmission line’s press fittings. This paper proves that X-ray nondestructive flaw detection technology is a good application in quality judging of press fittings and provides the guidance of solving the defects. This technology significantly improves the safety and the reliability of transmission line.
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    Applications of Micro Synchronous Phasor Measurement Units in State Estimation of Smart Distribution Network
    YAN Zheng,KONG Xiangrui,XU Xiaoyuan,XIE Wei
    2018, 52 (10):  1195-1205.  doi: 10.16183/j.cnki.jsjtu.2018.10.007
    Abstract ( 42 )   Save
    Due to the dual constraints of energy and the environment, China will vigorously develop distributed power supplies, electric vehicle replacement facilities and demand response resources. First, the smart distribution network will be presented in a new form: distributed and indefinite distributed generation is increasing; the operation mode of the distribution network is changing, the power electronics are obvious; the load is diversified and interactive. It is difficult for conventional distribution network measuring devices and state estimation methods to accurately characterize dynamic characteristics. Then the functions of the synchronous phasor measurement unit (PMU) and the necessity of the application in the distribution network are discussed. The domestic and foreign research of the miniature synchronized phasor measurement unit and the distribution network state estimation technology is systematically reviewed. Finally, the PMU measurement characteristics are introduced and analyzed comprehensively to improve the performance of smart distribution network state estimation.
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    “AI+” Based Smart Grid Prediction Analysis
    WU Qianhong,HAN Bei,FENG Lin,LI Guojie,JIANG Xiuchen
    2018, 52 (10):  1206-1219.  doi: 10.16183/j.cnki.jsjtu.2018.10.008
    Abstract ( 40 )   Save
    Smart grid prediction analysis (SGPA) is the basis to ensure the economic and safe operation of power system. With the breakthrough of AI and the big data environment for smart grid, AI based SGPA is significant for the development of power system, thus this paper proposes “AI+” prediction. Firstly, the background of AI and SGPA and some related issues are introduced. Then based on different emphasis, the AI applications in renewable energy prediction, load prediction, steady state voltage stability prediction and related preventive measures are reviewed and future direction of the research content is prospected. In addition, other related technologies involved in prediction (sample generation, imbalanced data and features extraction) are summarized. Finally, limitations and future developments about AI are discussed and suggestions and ideas are proposed.
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    Construction of a New Generation of Wireless Digital TV System in China
    ZHANG Wenjun,GUAN Yunfeng,HE Dazhi,XU Yiling,XU Yin
    2018, 52 (10):  1220-1225.  doi: 10.16183/j.cnki.jsjtu.2018.10.015
    Abstract ( 34 )   Save
    Ultra-high definition, network convergence and content association have become new trends in the development of global broadcasting and television technology. In order to actively respond to changes in the consumption patterns of audio-visual media and changes in the mode of communication, the establishment of a new generation digital television broadcasting standard system in China will effectively guide the innovation and development of mainstream cultural media and accelerate the upgrading of the entire machine manufacturing industry. To this end, this article describes the development history and technical characteristics of the US new generation wireless digital television broadcasting standard (ATSC 3.0) that was developed this year, and the current development of global fifth-generation mobile communication technology (5G) standard that is being worked out. Combining China’s national conditions, this article proposed the development needs, development directions, and key technical proposals for the new generation wireless digital TV broadcasting in China.
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    Fully-Integrated Reconfigurable CMOS Global Navigation Satellite System Receivers with High-Linearity
    JIN Jing,YANG Zhaolin,LIU Litong,ZHOU Jianjun
    2018, 52 (10):  1226-1233.  doi: 10.16183/j.cnki.jsjtu.2018.10.010
    Abstract ( 38 )   Save
    A fully-integrated reconfigurable CMOS receiver front-end architecture for multi-mode multi-band Global Navigation Satellite Systems (GNSSs) is proposed. Two reconfigurable channels are integrated to simultaneously process signals of any two types of bandwidth around the radio frequency (RF) bands of 1.2 and 1.57GHz. For specific circumstance which has strong interference, mixer-first structure is adopted to greatly improve the system linearity. Implemented in a 0.18μm CMOS process, the GNSS receiver front end shows a total noise figure of 2.5/2.7dB at 1.2/1.57GHz respectively, a maximum voltage gain of 110dB, and a gain dynamic range of 73dB. The input referred 1dB compression point is raised from -58dBm to -3dBm for the high-linearity receiver configuration.
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    Integrated Circuit Design for Retinal Prosthesis System
    CHEN Xi,ZHOU Jie,GUO Xunhua,ZHENG Zhiheng
    2018, 52 (10):  1234-1241.  doi: 10.16183/j.cnki.jsjtu.2018.10.011
    Abstract ( 34 )   Save
    Retina degenerations including age-related macular degeneration (AMD) and retinitis pigmentosa (RP) are common diseases causing blindness. Studies show that although the photo receptors in patients’ retina are damaged, most of the vision neurons remain attached, making current stimulation possible to restore vision. Application specific integrated circuit (ASIC) plays an important role in the development of retinal prosthesis. In this paper, the development of ASIC in retinal prosthesis is firstly reviewed. Architecture and chip designs of an ASIC for 128-channel retinal prosthesis are then introduced and the test results are presented.
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    Fabrication Technologies Research on Solidly Mounted Bulk Acoustic Resonator
    ZHANG Yafei,LIU Yijian,LI Zhongli,ZHANG Yaozhong,SU Yanjie,LIU Gang
    2018, 52 (10):  1242-1248.  doi: 10.16183/j.cnki.jsjtu.2018.10.012
    Abstract ( 35 )   Save
    With the rapid development of the telecommunications industry and microelectronics technologies, and with the increasingly clear development trend of fifth-generation (5G) communications, higher requirements have been placed on the performance of high-frequency miniaturized RF filters. The manufacture of BAW resonator filter is the most promising technology. Based on a large number of studies, this paper summarizes the preparation and optimization technologies of solidly mounted bulk acoustic resonator (SMR). Based on the technology of thin film roughness optimization, an AlN-ZnO co-resonating SMR was proposed to optimize the piezoelectric property and 〈0002〉 texture of ZnO film. The corresponding SMR is prepared and has achieved good device performance parameters. The series resonating Qs value is 616.2, the parallel resonating Qp value is 429.4, and the effect electromechanical coupling factor k2eff is 2.27%. This paper provides an innovative solution for the mass production of SMR.
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    Design of an X-Band High-Performance Active Integrated Antenna
    QI He,GENG Junping,WANG Kun,LIANG Xianling,ZHU Weiren,FAN Tingting,JIN Ronghong
    2018, 52 (10):  1249-1254.  doi: 10.16183/j.cnki.jsjtu.2018.10.013
    Abstract ( 29 )   Save
    Design of an active integrated antenna with transmit/receive switch and low-noise amplifier was proposed. The transmit/receive switch is based on PIN diodes, and uses asymmetric topologies and impedance transformation networks to achieve low insertion loss and high transceiver isolation. By collaborative design of the antenna, transmit/receive switch and low-noise amplifier (LNA), the matching network between the antenna and transmit/receive switch is eliminated, and the design of matching network between transmit/receive switch and LNA is simplified. The measured and simulated results are basically consistent. In the range of 7.8—8.1GHz, the active integrated antenna achieves good performance and is with a compact size.
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    Research Hot Spots of Optical See-Through Augmented Reality Glasses
    DENG Nianchen,YANG Xubo
    2018, 52 (10):  1255-1266.  doi: 10.16183/j.cnki.jsjtu.2018.10.014
    Abstract ( 37 )   Save
    This paper gives a survey about hot spots of optical see-through augmented reality glasses. General capabilities of optical see-through augmented reality glasses products are summarized, and two problems are found to limit the development of this area: vergence-accommodation conflict and ghosting. Then investigations in last three decades targeting these two problems are described. Finally we concentrate on the tendency of research about these two problems briefly.
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    Construction of a New Generation of Wireless Digital TV System in China
    ZHANG Wenjun,GUAN Yunfeng,HE Dazhi,XU Yiling,XU Yin
    2018, 52 (10):  1267-1272.  doi: 10.16183/j.cnki.jsjtu.2018.10.015
    Abstract ( 33 )   Save
    Ultra-high definition, network convergence and content association have become new trends in the development of global broadcasting and television technology. In order to actively respond to changes in the consumption patterns of audio-visual media and changes in the mode of communication, the establishment of a new generation digital television broadcasting standard system in China will effectively guide the innovation and development of mainstream cultural media and accelerate the upgrading of the entire machine manufacturing industry. To this end, this article describes the development history and technical characteristics of the US new generation wireless digital television broadcasting standard (ATSC 3.0) that was developed this year, and the current development of global fifth-generation mobile communication technology (5G) standard that is being worked out. Combining China’s national conditions, this article proposed the development needs, development directions, and key technical proposals for the new generation wireless digital TV broadcasting in China.
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    Development in SAR Moving-Target Detection
    WANG Junfeng,LIU Xingzhao
    2018, 52 (10):  1273-1279.  doi: 10.16183/j.cnki.jsjtu.2018.10.016
    Abstract ( 38 )   Save
    Due to its great potential in military reconnaissance and civil search, much attention is paid to moving-target detection in synthetic aperture radar (SAR) imaging. This paper reviews the methods in this field from three aspects: moving-target detection based on single-channel SAR, moving-target detection based on multiple-channel SAR, and velocity estimation of moving targets based on SAR, and introduces the significant progress made by our team in this filed recently.
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    A Review of Semi-Supervised Learning Theories and Recent Advances
    TU Enmei,YANG Jie
    2018, 52 (10):  1280-1291.  doi: 10.16183/j.cnki.jsjtu.2018.10.017
    Abstract ( 37 )   Save
    Semi-supervised learning, which has emerged from the beginning of this century, is a new type of learning method between traditional supervised learning and unsupervised learning. The main idea of semi-supervised learning is to introduce unlabeled samples into model training process to avoid performance (or model) degeneration due to insufficiency of labeled samples. Semi-supervised learning has been applied sucessfully in many fields. This paper reviews the development process and main theories of semi-supervised learning, as well as its recent advances and importance in solving real-world problems demonstrated by typical application examples.
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    A Double Competitive Scheme Based Learning Automata Algorithm
    DI Chong,QI Kaiyue,WU Yue,SU Yu,LI Shenghong
    2018, 52 (10):  1292-1297.  doi: 10.16183/j.cnki.jsjtu.2018.10.018
    Abstract ( 37 )   Save
    Learning automaton (LA) plays an essential part in the theoretical system of reinforcement learning. Not only does LA have important theoretical value, but also has extensive practical value, including many applications in security field. As classic family of LA, estimator algorithms have improved the performance of algorithms to a novel level. However, because of the limitation of estimators, the estimated values are not reliable at the beginning of learning process, which will lead to wrong updates of actions’ selection probability vector. Using current update strategy, the offset of wrong updates only relies on large number of extra iterations. Thus, there is still room for enhancement of convergence efficiency. In this paper, for improving the update strategy of probability vector, we proposed a double competitive scheme based learning automata algorithm and proved its ε-optimality. The simulation results showed that the proposed algorithms reached the highest convergence efficiency and confirmed the validity of proposed probability vector’s update strategy.
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    Adversarial Attacks in Artificial Intelligence: A Survey
    YI Ping,WANG Kedi,HUANG Cheng,GU Shuangchi,ZOU Futai,LI Jianhua
    2018, 52 (10):  1298-1306.  doi: 10.16183/j.cnki.jsjtu.2018.10.019
    Abstract ( 53 )   Save
    With the widespread use of artificial intelligence, artificial intelligence security has drawn public attention. The research on adversarial attacks in artificial intelligence has become a hotspot of artificial intelligence security. This paper first introduces the concept of adversarial attacks and the causes of adversarial attacks. The main reason is that the inconsistency between the model boundary and the real boundary leads to the existence of adversarial space. This paper review the works that design adversarial attacks, detect methods and defense methods agaisnt the attacks. The adversarial attacks including FGSM and JSMA attacks, the main idea of the attacks is to find the fast gradient direction of the model, adding perturbation according the direction and causing model misjudgment. Finally, some future research directions are proposed.
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    A Survey of Security Detection and Protection for Internet of Things
    HUA Cunqing
    2018, 52 (10):  1307-1313.  doi: 10.16183/j.cnki.jsjtu.2018.10.020
    Abstract ( 26 )   Save
    Internet of Things (IoTs) are a new stage of information technology development. In this paper, we firstly discuss the vulnerabilities in firmware and application of IoTs devices, as well as the open and shared nature of wireless spectrum, and point out that the security and availability of IoTs devices. We then review the recent progress on device and firmware security analysis, machine learning algorithms for IoTs security. We discuss different countermeasures from physical, link and network layers in the face of sophisticated attacks in IoTs. Finally, we summarize the challanging problems for security detection and protection for IoTs and discuss some potential trends in future development.
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    Surface Acoustic Wave Based Wireless and Passive Sensors
    HAN Tao,JI Xiaojun,LI Ping,WEN Yumei,SHI Wenkang
    2018, 52 (10):  1314-1323.  doi: 10.16183/j.cnki.jsjtu.2018.10.021
    Abstract ( 46 )   Save
    Surface acoustic wave (SAW) sensors endowed with the unique advantage of truly passive and naturally wireless operating principle attract much attentions in some applications, such as Internet-of-Things, smart grid, smart cities, and so forth. Some research results in SJTU on the fundamental theory of SAW, precise modeling of SAW sensors, design of wireless interrogation system, the sensing information acquisition and signal processing algorithm in the past 20 years have been summarized. The wireless SAW temperature sensor applications in the temperature monitoring of the breaker contacts of a switchgear, the cable joints in ring main units, and the oil temperature and level of power distribution transformers have been presented. Additionally, the wireless SAW sensor withstanding high temperature environment has been developed and applied in temperature monitoring of the high-frequency induction-heated cells in aluminium smelting.
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    Two-Layered Model Predictive Control with Performance-Based Trigger
    WANG Lin,ZOU Yuanyuan,LI Shaoyuan
    2018, 52 (10):  1324-1332.  doi: 10.16183/j.cnki.jsjtu.2018.10.022
    Abstract ( 30 )   Save
    In this study, we propose a two-layered control framework integrating event-triggered dynamic real-time optimization (D-RTO) and model predictive control (MPC), addressing the issue of infeasibility and performance loss caused by uncertainties. The upper layer utilizes economic MPC (EMPC) to minimize an economic cost function, calculating reference trajectories. The lower layer utilizes MPC to steer the plant to track the reference trajectories. A triggering criterion based on cost function is proposed to compensate for performance loss in time, without waiting for the next D-RTO optimization. When the deviation between these two layers’ cost function exceeds a pre-set threshold, the EMPC is triggered to excute optimization and update the reference trajectory based on the current system states. Feasibility and closed-loop stability of the proposed two-layered control framework have also been proved. Simulations demonstrate its effectiveness.
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    Snooping-Based Distributed Shared Memory
    ZHENG Yang,CHEN Haibo,ZANG Binyu
    2018, 52 (10):  1333-1338.  doi: 10.16183/j.cnki.jsjtu.2018.10.023
    Abstract ( 21 )   Save
    This paper presents a design of software distributed shared memory. Inspired by the snooping-based cache coherence, it adopts a new kind of memory coherence protocol which is quite different from the previous ones. The protocol aims to improve the performance of the distributed shared memory by reducing the messages needed in the critical path of execution. This paper further gives the practical implementation and optimization. The preliminary evaluation implies a 45% rise at most in performance.
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    Research on Computer System Isolation
    XIA Yubin,CHEN Haibo,GUAN Haibing
    2018, 52 (10):  1339-1347.  doi: 10.16183/j.cnki.jsjtu.2018.10.024
    Abstract ( 26 )   Save
    System isolation is a key enabling technology for reliability and scalability of computer system. Traditional system isolation is based on privilege layering, which is known as “layered isolation model”. Software is divided into different layers, the lower layer has the higher privilege, which is responsible for the isolation of up-layer software. Recently, as new hardware extensions keep evolving, including hardware assisted virtualization, ARM TrustZone, Intel SGX (Software Guard Extension), a new model, named “disaggregated isolation model”, is becoming a hot research topic, which brings new opportunities and challenges to traditional system software.
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    Aligning Large-Scale Networks: A Survey
    CAO Xuezhi,ZHANG Weinan,YU Yong
    2018, 52 (10):  1348-1356.  doi: 10.16183/j.cnki.jsjtu.2018.10.025
    Abstract ( 15 )   Save
    As the large-scale network data widely exists in various domains, complex network has drawn plenty of research attention. Among these researches, network alignment is a novel research topic proposed in recent years, which aims at revealing the underlying alignment among networks. For example, aligning online social networks by whether the accounts are held by the same user. Aligning the isolated networks leads to network data integration and provides pre-required data for subsequent researches and applications. Researchers have proposed several network aligners according to different scenarios. In this manuscript, we summarize the existing works and discuss the future directions for network alignment.
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    AceMap Academic Map and AceKG Academic Knowledge Graph for Academic Data Visualization
    ZHANG Ye,JIA Yuting,FU Luoyi,WANG Xinbing
    2018, 52 (10):  1357-1362.  doi: 10.16183/j.cnki.jsjtu.2018.10.026
    Abstract ( 54 )   Save
    Academic big data can provide help on information to researchers. While traditional academic search engines only offer search results without analysis, academic map is proposed based on AceMap, visualizing academic information to users in form of graph with various types of designed maps. When SQL-based database is not capable for generating customized academic map, AceKG is proposed to store data in form of triplets. AceKG can help realize the heterogeneous and customized map generator and can generate correlation map for any type of entity after embedding. Through the visualization of academic data, users are able to find points of interest more intuitively, thus improves the practicality of academic platform.
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    Automated Web Page Content Extraction Method Based on Document Object Model
    LI Tongyu,REN Rui,CAI Hongming,JIANG Lihong
    2018, 52 (10):  1363-1369.  doi: 10.16183/j.cnki.jsjtu.2018.10.027
    Abstract ( 42 )   Save
    Web content extraction has great engineering and application value in the fields of information retrieval, text analysis and network resource data processing. In view of the problem of web content extraction caused by useless information on web pages and the heterogeneity of web page structures, this paper proposes an automated web page content extraction method based on Document Object Model (DOM). Firstly, for DOMs generated from original web pages, we remove useless nodes from them and then compress the models, which facilitates subsequent processing. Then, we identify the web page content based on text and hyperlink density. Finally, we identify the noise hyperlinks based on node entropy and remove them from the content. The experimental results show that compared with the traditional methods of web page content extraction, the accuracy and F1 score of our method are obviously improved while there is only a slight decline on recall.
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    A Survey of New E-Government and Its Security Technologies
    LI Jianhua
    2018, 52 (10):  1370-1381.  doi: 10.16183/j.cnki.jsjtu.2018.10.028
    Abstract ( 19 )   Save
    In the context of “Internet plus”, e-government is of great significance for improving the informationization, intelligence and transparency of national public affairs and social affairs management. At the same time, emerging technologies such as cloud computing, big data, and 5th Generation Mobile Networks (5G) are developing rapidly, and bringing about a transformation in the functional architecture, system implementation, operation and maintenance of new e-government systems. It promotes the optimal scheduling of computing and communication resources, efficient processing of massive government information, and the sharing and application of government big data. However, these technologies have also brought security threats that cannot be ignored. Based on the analysis of the development trend in e-government systems and technologies at home and abroad, this paper studies the characteristics and technical means of new e-government. Furthermore, the security defense technology of new e-government system is analyzed and discussed.
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    An Ensemble-Based Intrusion Detection Algorithm
    HUANG Jinchao,MA Yinghua,QI Kaiyue,LI Yichen,XIA Yuanyi
    2018, 52 (10):  1382-1387.  doi: 10.16183/j.cnki.jsjtu.2018.10.029
    Abstract ( 40 )   Save
    As a key research direction in the field of machine learning, ensemble learning is widely used in anomaly intrusion detection, and it can reach a higher detection precision than the single classifier. However, existing ensemble-based intrusion detection algorithms have some shortcomings, such as, the loss of edge information as well as the loss of whole information during the process of dividing original problem, time-consuming and complexity of the model fusion. So, this paper proposed a novel ensemble-based algorithm for intrusion detection. Firstly, the original problem is divided into a number of two classification problems, and the predicted probabilities are added into original features. Then the multi-class model is trained as the final result. In addition, we adopted GBDT (Gradient Boosting Decision Tree)+LR (Logistic Regression), proposed by Facebook, to implement the binary classification. Experiments and analysis on KDD CUP’99 dataset verify the effectiveness of our proposed framework.
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    Displacement Prediction of Landslide Based on Variational Mode Decomposition and AMPSO-SVM Coupling Model
    U Feng,FAN Chunju,XU Xunjian,LI Li,NI Jiayun
    2018, 52 (10):  1388-1395.  doi: 10.16183/j.cnki.jsjtu.2018.10.030
    Abstract ( 42 )   Save
    Landslide is a natural disaster that seriously threatens and endangers the safety of life and property of residents. Landslide displacement prediction is helpful to predict natural disasters such as landslide. Monitoring data processing and the establishment of prediction model are the basis of landslide displacement prediction. According to the shortcomings of the EMD and EEMD decomposition algorithms which are applied widely in present analysis of time series,the variational mode decomposition algorithm is applied in signal processing to the landslide displacement sequences decomposition to obtain the subsequences. The AMPSO-SVM displacement prediction coupling model is constructed by combining adaptive mutation particle swarm optimization (AMPSO) and support vector machine (SVM). Apply the coupling model to predict displacement subsequences separately, then reconstruct all the sub-sequences prediction results and the total displacement prediction value is acquired. Taking the monitoring point XD1 in the Baishuihe landslide in the Three Gorges Reservoir area as an example, different scenarios are set to clarify the validity and stability of the proposed model. The case studies show that the prediction performance of landslide displacement based on variational mode decomposition and AMPSO-SVM coupling model is superior to BP neural network prediction model and SVM model optimized by the grid search algorithm, and it has a good theoretical basis and engineering application value.
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    Gastric Cancer Prewarning and Early Theranostics System Based on Nanotechnology
    CUI Daxiang
    2018, 52 (10):  1396-1403.  doi: 10.16183/j.cnki.jsjtu.2018.10.031
    Abstract ( 47 )   Save
    A new concept in the system of gastric cancer prewarning and early theranostics based on nanotechnology is summarized, including a series of research and the achievements under the guidance of the concept. The survey covers three aspects: we screened and identified some gastric cancer biomarkers associated with prewarning, early diagnosis and staging of gastric cancer; we developed a series of multi-functional nanoprobes integrated with the diagnosis and treatment of gastric cancer, which can realize simultaneous theranostics and monitoring in the gastric cancer mice models; we promoted clinical translation of lateral flow test chips and quantitative testing instruments, and we developed nanoprobes for identifying the operation boundary of gastric cancer and tracing metastasis lymph nodes. The research findings are conducted to perfect the system, and to boost clinical applications.
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    A Review of Noninvasive Detection Technologies for Gastrointestinal Tract Disease
    YAN Guozheng,KUANG Shuai,WANG Wei
    2018, 52 (10):  1404-1409.  doi: 10.16183/j.cnki.jsjtu.2018.10.032
    Abstract ( 34 )   Save
    Novel approaches and instruments to realize noninvasive and in vivo detection to the diseases at early stage are highly demanded. The paper briefly outlines the current detection devices and the developing direction. Some latest methods for detecting malignant tumor on gastrointestinal tract has been used regularly in clinical applications. The detection of relative physiological parameters provides new solution since the diagnosis of functional disorder depends on the parameters. The multiple medical information detection instrument based on microrobots is noninvasive and can be used in vivo. It attracts much attention of researchers on robotics and medical engineering. Finally, the latest trend of this field is predicted.
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    Review of Analytical Methods for Underwater Electric Field in Ships
    CAI Yuefeng,FAN Xiaoping,TAI Nengling
    2018, 52 (10):  1410-1416.  doi: 10.16183/j.cnki.jsjtu.2018.10.033
    Abstract ( 27 )   Save
    Calculating and analyzing the electric field of ship in water, by reviewing the research progress of theoretical modeling methods, we classified and discussed separately on modes such as point electrode mode and electric dipole model. Then the measurement of the electric field of a ship under water is reviewed, including measurement methods and measurement errors caused by distorted electric field. Finally we introduced the simulation experiments of the ship electric field, and made an analysis and summary on the measurement experiments of extremely low frequency electric field.
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