Table of Content

30 January 2017, Volume 35 Issue 1

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Special Column of Smart Grid

Privacy-Preserving Distributed Naive Bayes Data Mining

YE Yun, SHI Cong-cong, YU Yong, HUAI Meng-di, LIN Wei-min, GAO Peng

2017, 35(1):  1-10.  doi:10.3969/j.issn.0255-8297.2017.01.001

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Current works involving distributed privacy-preserving Naive Bayes data mining only consider the privacy of each party but ignore the fact that the learned Naive Bayes classifer can also potentially disclose the global privacy.Additionally, these works cannot deal with collusion attacks.Based on secure multi-party computation and differential privacy, we propose a horizontally distributed privacy-preserving Naive Bayes protocol.In this protocol, we construct the privacy-preserving Naive Bayes protocol based on the secure multiparty computation theories to protect each party's privacy.We then make the learned Naive Bayes achieve differential privacy to prevent the global privacy from the learned classifer.To resolve two kinds of collusion attacks, we construct a random selection algorithm based on the secret sharing theories.To achieve this, we randomize the Laplace noise provider.In this way, collusions among massive parties and adjacent parties are prevented.Using these steps, we construct a privacy-preserving Naive Bayes algorithm.Experimental results reveal that the proposed distributed protocol has good classifcation performance regardless of the number of participating parties.In other words, it has high scalability.

Antenna Directionality of Micropower Wireless Communication Module in Smart Meter

YU Hua-dong, OU Qing-hai, ZHANG Zhe, WANG Yun-di, WU Qing, ZHAO Hong-hao, LU Yi

2017, 35(1):  11-20.  doi:10.3969/j.issn.0255-8297.2017.01.002

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Received wireless power can be increased under the same conditions by reasonable installation angle of directional antennas.A 230 MHz normal mode helix antenna of micropower wireless communication module in a smart meter is designed and implemented.Directivity of the antenna is discussed.The installation angle of antenna is improved based on actual installation mode of antenna and the smart meter.Simulation and measurements show that the average received wireless power in a micropower wireless communication module increases by 2.4 dBm as compared to that without installation angle improvement.In the same environment and the same signal encoding modulation mode, signal-to-noise ratio of the received signal is increased, and therefore quality of wireless communication between a smart meter and a concentrator can be improved.

Improved Estimation of Distribution Algorithm (EDA) for Locating Fault Sections in Distribution Networks

WANG Si-ming, TONG An-rong

2017, 35(1):  21-30.  doi:10.3969/j.issn.0255-8297.2017.01.003

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In locating fault sections on the feeder of a distribution network, artifcial intelligence algorithms have shortcomings such as large initial population, too many iterations and premature convergence.Thus, an algorithm for distribution estimation based on bacterial foraging (BF-EDA) is proposed.To enhance local optimization capability and avoid premature estimation of distribution algorithm (EDA), bacterial foraging behavior is introduced into the EDA.Experimental results show that the BF-EDA can effectively locate faults in a multiple source ring-open distribution network with good accuracy, rapidity and fault tolerance.

Spatiotemporal Distribution of Lightning Disasters of Power Lines in Hubei Province Using Data Mining Based on Apriori Association Rules

HUANG Jun-jie, TAN Bo, CHEN Xiao-ming, CHEN Jiang-ping, RUAN Ling, FENG Wan-shu, XIONG Yu

2017, 35(1):  31-41.  doi:10.3969/j.issn.0255-8297.2017.01.004

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By using the data of lightning failure and monitoring of the past years provided by Hubei Grid, this paper studies the characteristics of daily and monthly distributions of lightning activity, as well as the elevation distribution and spatiotemporal distribution.The results show that lightning in Hubei Province mainly occurs in July and August, and between 15:00 and 18:00 during the day.The active regions include the east parts of Huangshi and Xianning, central Wuhan, central and eastern Yichang, and southern and part of northern Xiangfan.The multi-source lightning data are fused with an algorithm based on Apriori association rules.The research shows that lightning shield of the power lines may fail when daily average relative humidity is higher than 80%, daily average air pressure is higher than 1×10⁵Pa, or daily average water vapor pressure is between 3×10³ Pa and 4×10³ Pa.In these cases, therefore, measures should be taken to strengthen lightning prevention.Analyzing big data of lightning around power lines using the association rules can provide guidance to decision makers of power lines for disaster prevention.

Data Mining for Correlation Rules of Lightning in Hubei Province

CHEN Jiang-ping, TAN Bo, LIAN Shi-zhong

2017, 35(1):  42-50.  doi:10.3969/j.issn.0255-8297.2017.01.005

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Based on the historical data of each July between 2012 and 2014 provided by the lightning location system of Hubei province, this paper reveals possible relationship between lightning and various environmental factors concerning meteorological conditions and terrains.Combined with the algorithm of density-based spatial clustering of applications with noise (DBSCAN) and the kernel density algorithm, insignifcant locations with rare lightning are eliminated.Qualitative and quantitative relations between lightning locations in Hubei with different peak currents and various factors such as terrains and meteorological factors are obtained using the a priori data mining algorithm for correlation rules.In Hubei, which is mainly a low-lying land, lightning strikes with low current of 10~75 kA are likely to occur in forests or farmlands.In these areas, lightning is strongly correlated with average values of air pressure, relative humidity, vapor pressure, precipitation, temperature and wind speed.Lightning with high current of more than 100 kA has a certain relation with wind speed, daily vapor pressure, daily average temperature and minimum temperature.Lightning with very high current of 157.9~250.7 kA is correlated with precipitation.

Communication Engineering

Localization of Double Layer Location System Based on IBeacon Network

YAO Wei-qiang, ZHANG Jin-yi, BAO Shen, LIANG Bin

2017, 35(1):  51-62.  doi:10.3969/j.issn.0255-8297.2017.01.006

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In many traditional indoor large space localization method, it is difcult to improve both positioning accuracy and real-time performance.This paper proposes a localization system based on iBeacon network.The system composes of two optimized indoor positioning algorithms, and has an iBeacon dual layer positioning architecture.The former achieves rapid location with an algorithm that matchesa region of space probability, and achieves high precision within each region in the area with a weighted centroid algorithm.The latter, based on the iBeacon identifcation code, is divided into two levels of node localization.Different levels of positioning is achieved by using different combinations of these nodes.In the positioning process, the system uses the iBeacon double layer positioning architecture at different levels of the two positioning algorithms to improve accuracy of real-time positioning.Experimental results show that, with similar accuracy, the proposed system improves the real-time performance by 55.29% and 54.18% respectively compared with K-nearest neighbor (KNN) and weighted K-nearest neighbor (WKNN).Positioning accuracy is improved by 37.35% compared with an improved weighted centroid algorithm based on RSSI.The proposed system has high economic and social values as it can be used for navigation in large buildings and detect pedestrian paths.

Connectivity Modeling for Vehicular Communication Networks

CHEN Si-min, ZHAO Hai-tao, ZHU Hong-bo, ZHANG hui

2017, 35(1):  63-70.  doi:10.3969/j.issn.0255-8297.2017.01.007

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Vehicular communication network is a high-speed mobile Ad-Hoc network (MANET).Vehicle connectivity is important in studying multi-hop communications, and is a challenge due to rapid changes of topology caused by fast moving of vehicles and frequent disconnection of the network.In this paper, a connectivity model of vehicular communication network based on headway is established based on the point of headway.It is done by reasonably analyzing the trafc, and assuming that the headway follows the Erlang distribution and the speed of vehicles follows normal distribution.The relation between the numbers of arriving vehicles per unit time period and the average vehicle density, that between the range of communication and vehicle connectivity are analyzed.Simulation results show that the more vehicles arrive in a unit time period, the higher the average vehicle density.Consequently, an optimum range of communication can be obtained for good connectivity.The proposed network connectivity model is useful for transmitting data in vehicular communication networks.

Modeling and Generation of Non-stationary Rice Fading Channel with Time Evolution

LIU Xing-lin, ZHU Qiu-ming, CHEN Ying-bing, CHEN Xiao-min, LI Hao

2017, 35(1):  71-80.  doi:10.3969/j.issn.0255-8297.2017.01.008

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When the transmitter or receiver moves fast, wireless radio channel for mobile communication system is non-stationary.This paper establishes a non-stationary Rice fading channel model with time evolution for the dynamic propagation link between mobile and base stations.A generation method is proposed for non-stationary fading channels based on the sum-of-linear-frequency-modulation (SoLFM) signals, and an algorithm for parameter updating designed.Experimental results show that the proposed method can ensure smooth handoff of fading channel states and continuity of fading amplitude and phase.It can also reproduce non-stationarity of a fading channel, and ensure the channel model's time-variant envelope distribution and time-variant Doppler power spectrum agree with the desired values.The model and its generation method can be applied to evaluate performance and validate a wireless mobile system in a time-variant propagation environment.

Signal and Information Processing

Gesture Tracking Using Improved Linear Extrapolation Predictor

YAO Heng, YUAN Min, QIN Chuan, TIAN Ying

2017, 35(1):  81-89.  doi:10.3969/j.issn.0255-8297.2017.01.009

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To improve accuracy of gesture tracking in dynamic gesture recognition system, a gesture tracking algorithm using an improved linear extrapolation predictor is proposed.Specifcally, to improve prediction accuracy, the algorithm uses the average displacement of two previous frames as the future-frame predictor.Besides, to deal with occlusion and hands-overlap, the target movement direction is determined based on the slope of ftting line with fve points.Thus deviation between the predicted and actual positions caused by the changing gesture centroid is reduced.Experimental results show that efciency of the proposed gesture tracking method with the average prediction deviation is reduced to 3.374 pixels.In addition, even in the case of occlusion and hands-overlap, the gesture target can also be tracked effectively.

Signal-to-Noise Ratio in Low Light Images from Microsatellite

ZHANG Yang, ZHONG Xing

2017, 35(1):  90-98.  doi:10.3969/j.issn.0255-8297.2017.01.010

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To acquire low-light remote sensing images, remote sensing platform and sensors are studied.By increasing integration time, low-light remote images are combined.In contrast to the current imaging models we have on satellite, a staring imaging model can achieve longer integer time.The new microsatellite platform can collect low-light remote image in this model.A mathematical model for signal-to-noise ratio is established to obtain functional relationship among relative optical aperture, integration time and signal-to-noise ratio.An experimental platform is setup to collect target images acquired in a low light environment with different integration time for analysis of signal-to-noise ratio.

Multi-task Automatic Prostate Segmentation with Group CT Planning Images

DAI Xiu-bin, Deng Huang-jian, LIU Dai-fu, LIU Ke, ZHOU Qing-rong

2017, 35(1):  99-106.  doi:10.3969/j.issn.0255-8297.2017.01.011

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To automatically and accurately segment prostates in CT planning images, a multi-task CT prostate segmentation method is proposed based on group images.The group images with those from other patients are frst mapped to various spaces of reference images to form a multiple training task.The random forest method and the automatic context model are used to train a series of classifers.The trained classifers are then iteratively applied to CT images to be segmented.Multiple classifcation probability maps are thus produced.The fnal segmentation result is obtained using a majority voting method.Experimental results show that, compared with single-task segmentation, proposed multi-task segmentation based on group images can effectively improve accuracy of prostate segmentation for CT planning images.

3D Measurement of Regular Components Base on Structured Light with an Intersecting-Parallels Shape

CAI Chen, PAN Bin, LIU Zhen-ning

2017, 35(1):  107-116.  doi:10.3969/j.issn.0255-8297.2017.01.012

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This paper proposes a method using structured light with an intersectingparallels shape to carry out three-dimensional (3D) vision measurement for regular components.This structured light is projected onto a calibration plate.Images are acquired and processed to calibrate the measurement system.The light is then projected on the component and images are captured and processed in order to extract the centers of the light strips.Combined with the calibration and light strip data, 3D coordinates of the object are calculated precisely.Experimental results show that the measure mentrange is between 700 mm and 1 000 mm, with errors less than 0.5 mm.

Computer Science and Applications

Handover Management Based on MPTCP in SDN Environment

SUN Mao-xin, QIAN Hong-yan, CHEN Bing, ZHANG Xuan

2017, 35(1):  117-127.  doi:10.3969/j.issn.0255-8297.2017.01.013

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To improve handover performance of wireless network, we use the software defned networking (SDN) architecture and propose a handover method based on the multipath transmission control protocol (MPTCP).Handover decision is made according to the proposed multiple attributes handover algorithm based on fuzzy logic.The algorithm uses the current received signal strength (RSS), forecasting RSS and available bandwidth for parameters in designing a fuzzy logic controller, and calculates parameters of membership values.Values of network performance is then calculated to make handover decision.To implement the handover manangement, we use MPTCP in the transport layer of both sides of communication.This protocol allows establishment of multiple data transmission path.Mobile equipment can use MPTCP to connect multiple access point (AP) simultaneously.When a link switching occurs, the rest of the links continue to maintain communication.To show performance of the handover mananament, we have built a OpenFlow test bed.The experimental results show that the proposed mechanism can achieve seamless handover and ensure quality of service (QoS).

Dynamic Path Planning of Unmanned Aerial Vehicle Based on Sparse A*Algorithm and Cultural Algorithm

LI Jun-hua, LIU Qun-fang

2017, 35(1):  128-138.  doi:10.3969/j.issn.0255-8297.2017.01.014

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For dynamic path planning of unmanned aerial vehicle (UAV), we combine digital terrain, weather information, and other data to establish a full digital probability map.We then use a two level hierarchical planning method that includes ofine static planning and online real-time dynamic planning to realize dynamic path planning of UAV.The method is based on the sparse A^* algorithm and cultural algorithm (CA).It solves the winding problem of sparse A^* algorithm and improves reliability and real-time performance of tracking.