2016 Vol.34

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    Journal of Applied Sciences    2016, 34 (1): 0-0.  
    Abstract570)      PDF(pc) (381KB)(380)       Save
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    Journal of Applied Sciences    2016, 34 (1): 0-0.  
    Abstract194)      PDF(pc) (47KB)(317)       Save
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    Pilot Design Based on Pseudo-random Code in Massive MIMO System
    FANG Xin, ZHANG Jian-feng, CAO Hai-yan, YING Na
    Journal of Applied Sciences    2016, 34 (1): 1-11.   DOI: 10.3969/j.issn.0255-8297.2016.01.001
    Abstract1053)      PDF(pc) (4179KB)(872)       Save
    To deal with pilot contamination in massive MIMO systems, an efficient pilot design scheme is proposed. Different pseudo-random codes are assigned to different cells, all using the same set of orthogonal pilots. These codes are used to scramble the user pilot in each cell to get a transmission pilot. Mean square error (MSE) performance of expected channel estimation is derived and analyzed. Simulation results show that the channel estimation performance can be effectively improved when a proper pseudo-random code is chosen with the proposed pilot design method. It can greatly enhance the downlink performance in all cells.
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    Null Broadening Wideband Beamforming for SDL Based Array
    ZHANG Wei, XU Lin, XU Quan-xin, WANG Yong
    Journal of Applied Sciences    2016, 34 (1): 12-21.   DOI: 10.3969/j.issn.0255-8297.2016.01.002
    Abstract1113)      PDF(pc) (7218KB)(497)       Save
    Traditional adaptive wideband beamforming is difficult to be implemented with hardware, and has narrow null width in direction of interference. To deal with the problem, a novel null broadening wideband beamforming algorithm based on spatial response variation (SRV) constraint is proposed. Tapped delay-lines based systems are replaced with a structure based on sensor delay-lines (SDL). At the reference frequency, the beam response in the direction of interference is limited by using a maximum constraint. An SRV constraint based algorithm is used to broaden the region of nulls. An optimal weight vector is obtained using a convex optimization tool. Simulation results show that, with the proposed algorithm, null broadening and constant beam width can be realized at the same time of wideband beamforming. When null width is set to 10° and null depth is -30 dB, a measured null width of 14.7° can be obtained, and the system has a high output signal to interference and noise ratio (SINR).
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    Impact of Modulation Rate on Energy Efficiency of Amplify-and-Forward Relay Transmission Links
    CHEN Fang-fang, WANG Tao
    Journal of Applied Sciences    2016, 34 (1): 22-29.   DOI: 10.3969/j.issn.0255-8297.2016.01.003
    Abstract952)      PDF(pc) (4007KB)(360)       Save
    The influence of modulation rate on energy efficiency (EE) for a source-relayterminal communication link using the amplify-and-forward (AF) protocol and MQAM is studied given a prescribed error rate (BER). Transmission power consumption is calculated. The total power consumption is obtained when the circuit power consumption is taken into account. An expression of EE is derived, and the influence of modulation rate on EE studied. Simulation results show that, with the modulation rate increasing, energy efficiency increases first, and then decreases.
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    Joint Subcarrier Suppression and Relay Selection for Two-Way OFDM Relaying System with PLNC
    SHEN Xian-li, XIE Wei, XU You-yun, XU Kui, ZHANG Dong-mei
    Journal of Applied Sciences    2016, 34 (1): 30-41.   DOI: 10.3969/j.issn.0255-8297.2016.01.004
    Abstract1010)      PDF(pc) (10806KB)(530)       Save
    This paper deals with the joint subcarrier suppression and relay selection (JSSRS) problem in two-way orthogonal frequency division multiplexing (OFDM) relaying system based on physical layer network coding (PLNC) with the decode-and-forward protocol over a multipath Rayleigh fading channel. Two JSSRS schemes are proposed:JSSRS with a fixed threshold (FT-J) and JSSRS with a fixed number of subcarriers (FNS-J). In a two-way information exchange process, FT-J suppresses subcarriers by keeping the suppression threshold invariant, and FNS-J suppresses subcarriers by keeping the number of suppressed subcarriers invariant. In other words, FNS-J keeps the number of active subcarriers constant and the suppression threshold value varying. Simulation results show that FT-J and FNS-J can improve efficiency and enhance reliability of a two-way OFDM relaying system based on PLNC as compared with traditional subcarrier suppression schemes.
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    Comparison of Complex and Real Wavelet Transforms in Islanding Detection
    FANG Xiao-mei, LUO Xiao-shu, JIANG Pin-qun, SONG Shu-xiang, LIAO Zhi-xian
    Journal of Applied Sciences    2016, 34 (1): 42-48.   DOI: 10.3969/j.issn.0255-8297.2016.01.005
    Abstract869)      PDF(pc) (4648KB)(625)       Save
    Islanding detection is an important issue in grid-connection of a distributed photovoltaic system. The paper compares complex and real wavelet transforms used in islanding detection. Islanding is judged by extracting and analyzing changes in the amplitude and phase of wavelet transform coefficients of the voltage at common coupling points. Simulation results show that the islanding detection method based on complex wavelet transform is more effective than that based on real wavelet transform. The complex wavelet method also solves the problem of tedious layering of characteristic signal and complicated threshold selection encountered in the real wavelet based method.
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    A Lattice Boltzmann Model with Statistic Region Information for Image Segmentation
    WEN Jun-ling, YAN Zhuang-zhi, JIANG Jie-hui
    Journal of Applied Sciences    2016, 34 (1): 49-57.   DOI: 10.3969/j.issn.0255-8297.2016.01.006
    Abstract982)      PDF(pc) (14669KB)(438)       Save
    The lattice Boltzmann (LB) model has advantages of simple programming and faster operation, but for images with low contrast and noise, segmentation may fail. This paper proposes a novel LB model using local statistical region information. As the method can enhance contrast of the object and background, and reduce noise, it provides improved delineation accuracy. To verify effectiveness of the model, comparison experiments among the existing LB model, level set models and the proposed model are made, using real magnetic resonance (MR) images. Dice coefficient and Hausdorf distance are used as the measurement index. The results show that the proposed model produces segmentation results with precision 10 times better than the existing LB method. In addition, the computing speed is 3 times faster than level set models.
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    Image Segmentation Based on Differential Evolution and 2-D Entropy
    ZHANG Li, YE Zhi-wei, WANG Ming-wei
    Journal of Applied Sciences    2016, 34 (1): 58-66.   DOI: 10.3969/j.issn.0255-8297.2016.01.007
    Abstract1253)      PDF(pc) (4840KB)(558)       Save
    Image segmentation based on 2-D entropy uses local space information of images and has better segmentation results than 1-D entropy based methods, but the computation efficiency is low. Commonly used optimization algorithms such as genetic algorithm and particle swarm optimization can improve efficiency of 2-D entropy thresholding, but cannot ensure the optimal threshold values. In the present paper, an image segmentation approach based on differential evolution and 2-D entropy is proposed to avoid drawbacks of the above methods. A local search strategy is used to further improve precision of the optimal threshold. Experimental results indicate that the proposed method is robust, and can acquire the optimal threshold values with much faster running speed than the primary 2-D entropy thresholding method.
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    Urban Boundary Extraction by Fusing of DMSP-OLS and Landsat Images
    WU Xiao-yu, ZHANG Peng-lin
    Journal of Applied Sciences    2016, 34 (1): 67-74.   DOI: 10.3969/j.issn.0255-8297.2016.01.008
    Abstract1202)      PDF(pc) (11644KB)(492)       Save
    This paper proposes a fusion approach to detect the urban boundary. Two boundaries were obtained using the DMSP-OLS night light data and Landsat image data, respectively. A proper weight was chosen to fuse these two boundaries obtained from different data sets so that reliability of the final results was improved. Experimental results have shown validity of the proposed approach.
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    Cited: Baidu(1)
    Lower Mekong River Flood Area Monitored by Multi-source Remote Sensing
    LI Tong, ZHANG Li, SHEN Qian, ZHANG Bing-hua
    Journal of Applied Sciences    2016, 34 (1): 75-83.   DOI: 10.3969/j.issn.0255-8297.2016.01.009
    Abstract1367)      PDF(pc) (14453KB)(352)       Save
    Remote sensing monitoring of submerged areas is an effective method to measure flooding, directly indicating severity of the disaster. This study uses MODIS, FY3A MERSI, HJ1A/B CCD and Landsat TM data to monitor time series of the flood inundation area in the Mekong River downstream in 2011, based on an optimal algorithm obtained from experiments. We evaluate the flood area with different types of vegetation using the MODIS land cover data. From the results the following recommendations are made. NWDI is the best algorithm for HJ1A/B CCD and FY3A MERSI. NDVI is more suitable for Landsat TM and MODIS data compared with other three algorithms. Cambodia and the Mekong Delta region had serious flooding disaster in October 2011, with the inundated area 6.5 times larger than the normal area. The Tonle Sap River basin was the worstaffected area, with the river widened by about 40 times. At the beginning of the flood, a large amount of water flowed into Tonle Sap Lake, which played an important role in storing flood water. Therefore, by combining advantages of multi-source remote sensing satellite data to monitor changes in the floods, we can acquire more detailed information and improve efficiency of flood detection.
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    Object-Based Building Extraction from Airborne LiDAR Data
    FAN Jing-jing, ZHANG Hua, HAO Ming
    Journal of Applied Sciences    2016, 34 (1): 84-94.   DOI: 10.3969/j.issn.0255-8297.2016.01.010
    Abstract890)      PDF(pc) (14721KB)(357)       Save
    Based on airborne LiDAR data, an object-based method for building extraction with coarse-fine accuracies is proposed. A normalized digital surface model (nDSM) and the normalized difference (ND) are extracted from the LiDAR data. Special edge echo points are removed from the ND data using a morphological operator. Taking into consideration height and penetrability of the buildings, coarse profile of the buildings are extracted from ND and nDSM data using a threshold segmentation algorithm. A multi-resolution segmentation algorithm is then used to segment the candidate buildings by integrating intensity, and the nDSM/ND data. The segmentation result is further optimized by merging the adjacent objects with smaller brightness difference. Finally intensive buildings are extracted based on spectral and geometrical characteristics, and the spatial relations of objects. Experiment results show that the proposed method can obtain buildings with high precision, and provides a means for building extraction from airborne LiDAR data.
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    Prediction of Suspension Pipeline Strain by GM(1,1)-ARMA Model Based on Wavelet Transform
    HUAN Ying, LAN Hui-qing, LIN Nan, ZHANG Ping
    Journal of Applied Sciences    2016, 34 (1): 95-105.   DOI: 10.3969/j.issn.0255-8297.2016.01.011
    Abstract997)      PDF(pc) (14180KB)(371)       Save
    When using an ARMA model to predict monitoring data of bridges, difference processing causes some data lose. To improve prediction accuracy, this paper makes use of the advantages of wavelet analysis, i.e., no information is lost after wavelet transform. The time series with a clear trend are divided into two parts. The low-frequency part representing strain trend is modeled using GM(1,1), and the high-frequency part representing random disturbance using ARMA. The predicted value is then obtained by combining the two parts. Validation is made with the strain data acquired from an on-line monitoring system on a Yellow River suspension bridge. The results show that prediction accuracy of the combined GM(1,1)-ARMA model is higher than the traditional ARMA. The method is applicable to early warning of similar bridges.
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    Nondestructive Inspection of Steel Bridge Based on Infrared Thermal Imaging
    YAN Yuan, ZOU Lan-lin, ZHOU Xing-lin
    Journal of Applied Sciences    2016, 34 (1): 106-114.   DOI: 10.3969/j.issn.0255-8297.2016.01.012
    Abstract1011)      PDF(pc) (13224KB)(420)       Save
    A new inspection method is proposed to detect fatigue crack on steel bridges based on stress concentration features. The relationship between stress and temperature of the component is built theoretically. Fatigue cracks can be located by calculating distortion stress based on detection of temperature distortion of the component using an infrared thermal imager. As an example, consider a plate with a hole. Relationship between stress and temperature of the hole-edge spots is studied under cycle loads. The results show that the temperature of left/right spots decrease and top/bottom spots increase when t=0.05 s, and the temperature of left/right spots increase and top/bottom spots decrease when t=0.15 s. These agree with the theoretical result, and the mode test results show feasibility of the proposed method.
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    Journal of Applied Sciences    2016, 34 (2): 0-0.  
    Abstract539)      PDF(pc) (378KB)(2701)       Save
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    Journal of Applied Sciences    2016, 34 (2): 0-0.  
    Abstract339)      PDF(pc) (47KB)(323)       Save
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    Structured Compressed Sensing Image Reconstruction Based on Double-Density Dual-Tree Complex Wavelet Transform
    WANG Hai-xu, WU Shao-hua, YANG Jing-ran, DING Chan-juan
    Journal of Applied Sciences    2016, 34 (2): 115-126.   DOI: 10.3969/j.issn.0255-8297.2016.02.001
    Abstract1040)      PDF(pc) (10607KB)(525)       Save
    We propose a new structured compressed sensing recovery algorithm of images based on double-density dual-tree complex wavelet transform (DDDT-CWT). The algorithm combines the structured characteristic of coefficients under DDDT-CWT and compressive sample matching pursuit (CoSaMP) recovery algorithm. It has good reconstructed image performance. Simulation results show advantages of the proposed method as compared with traditional recovery algorithm using DWT basis and without considering structured characteristic of coefficients. With the same compression ratio, PSNR is improved by 2.9~3.2 dB and 0.2~1.2 dB when using the DDDT-CWT basis and considering structured characteristic respectively. The PSNR gain reaches 3.8~4.3 dB when combining these two features together.
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    High-Resolution Image Based on Exponent Moments
    SUN Jing-feng, LIU Hui-ying, JI Chao, GUO Hui-juan
    Journal of Applied Sciences    2016, 34 (2): 127-134.   DOI: 10.3969/j.issn.0255-8297.2016.02.002
    Abstract871)      PDF(pc) (6644KB)(433)       Save
    Based on the definition and calculation method of exponential moments, this paper describes a high-resolution image using the exponential moment matrix. Combining image segmentation and further treatment of sub-images, we use FFT to calculate the exponential moment matrix of a high-resolution image. Each sub-image is then reconstructed with the obtained exponential moment matrix. The original image is recomposed using the reconstructed sub-images. Meanwhile, based on Itti's visual attention model, SNR of the objectively interested area in the reconstructed image is analyzed. Simulation results show that the reconstructed image block effect caused by segmentation can be reduced, and SNR of the reconstructed image is improved. It is shown that describing a high-resolution image with image moment invariant matrix is feasible.
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    Perceptually Adaptive Loop Filter Aimed at 3D-HEVC
    WANG Yong-fang, WANG Yu-bing, SHI Ya-wen, LUO Li-dong, ZHANG Zhao-yang
    Journal of Applied Sciences    2016, 34 (2): 135-144.   DOI: 10.3969/j.issn.0255-8297.2016.02.003
    Abstract1028)      PDF(pc) (8844KB)(327)       Save
    This work proposes a perceptually fast adaptive loop filter algorithm to reduce coding complexity. The largest coding units (LCUs) are classified into different regions according to the just noticeable distortion (JND) profile and using a Canny operator. Based on the ALF performance assessment and an analysis of different regions, all ALF processes for LCUs in sensitive smooth regions and non-sensitive smooth regions are skipped. Experimental results show that the proposed method can significantly reduce ALF encoding complexity while maintaining video quality. The proposed algorithm can achieve better subjective video quality with similar coding complexity compared with the existing efficient ALF algorithm.
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    Improved Triangle Mesh Method for Surface Reconstruction from Normal Field
    FANG Qiao-yun, LÜ Dong-hui, SUN Jiu-ai
    Journal of Applied Sciences    2016, 34 (2): 145-153.   DOI: 10.3969/j.issn.0255-8297.2016.02.004
    Abstract1317)      PDF(pc) (5368KB)(511)       Save
    Photometric stereo is an important contactless method for obtaining object shape information. It is a key step in surface reconstruction based on surface normal field. By reviewing and analyzing existing methods, we find that performance of the triangle mesh method is unsatisfactory in local computation and vulnerable to noise. To improve reconstruction accuracy, an improved triangle mesh method with global constraints as used in the normal and tangent vector method is proposed. An object with Lambertian surface is used in the experiments to compare reconstruction accuracy and computing time of normal and tangent vector method, Poisson method, triangle mesh method and the improved triangle mesh method. The results show that Poisson method is computationally efficient, the improved triangle mesh method is better in reconstruction accuracy when the image does not contain noise, while the proposed triangle mesh method performs better both in reconstruction accuracy and noise resistance.
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    Cited: Baidu(1)
    Smooth Blending of Trigonometric Bézier Curves and Surfaces
    LIU Hua-yong, XIE Xin-ping, LI Lu, ZHANG Da-ming
    Journal of Applied Sciences    2016, 34 (2): 154-162.   DOI: 10.3969/j.issn.0255-8297.2016.02.005
    Abstract1128)      PDF(pc) (11188KB)(447)       Save
    Trigonometric polynomial functions with shape parameters are proposed. The λC-Bézier curve and surface basis can achieve higher order smoothness by joining in relatively simple conditions. Meanwhile, their shape can be adjusted freely without changing control points. Based on the trigonometric Bézier polynomial functions, we define a new λC-Bézier curve determined by four control points and a new λC-Bézier surface determined by sixteen control net.The smooth blending conditions of the new curve and surface are discussed. Under the blending conditions, we define a piecewise combination curve and surface consisting of the λC-Bézier curve and surface. The method automatically ensures continuity of the curve and surface. Experimental results show effectiveness of the method.
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    Effect of Bending Stress on the Conductive Properties of Two-Dimensional Graphene
    FU Kai, XU Rong-qing, CHEN Jing
    Journal of Applied Sciences    2016, 34 (2): 163-170.   DOI: 10.3969/j.issn.0255-8297.2016.02.006
    Abstract879)      PDF(pc) (10319KB)(574)       Save
    Chemical vapor deposition (CVD) was used to grow high-quality two-dimensional graphene, and graphene/PDMS and graphene/PET flexible transparent conductive film were prepared. These were used to study the relationship between conductivity and curvature of two-dimensional graphene in the context of different materials and different thickness of the substrate. The results show that elastic modulus and thickness of the flexible substrate have little effect on conductivity of the two-dimensional graphene. When thickness of the substrate is the same, graphene resistance increases with the increase of the bending curvature. However, the rate of relative change of graphene resistance is small, indicating that two dimensional graphene conductive films can be used as flexible conductors for bendable touching screen, robot skin, and wearable device.
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    Cited: Baidu(2)
    Localized Surface Plasmon Enhanced Fluorescence on Silver Nanoclusters
    ZHANG Tao, XU Rong-qing, CHEN Jing, DENG Bei
    Journal of Applied Sciences    2016, 34 (2): 171-176.   DOI: 10.3969/j.issn.0255-8297.2016.02.007
    Abstract1084)      PDF(pc) (3804KB)(786)       Save
    Using low energy cluster beam deposition based on magnetron plasma gas aggregation cluster source, we fabricated silver nanoclusters on a quartz substrate and measured its transmittance spectrum. Then we dispersed SiO2 fluorescent nanospheres separately on bare quartz substrates and quartz substrates with silver nanoclusters. We found that the fluorescence intensity with silver nanoclusters was 5.3 larger than that without silver nanoclusters. Finally, we used the Mie scattering theory to numerically calculate the electric field intensity distributions of a single silver nanosphere where surface plasmon resonance existed. We give a reasonable explanation for the experimental results.
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    Control of Trajectory Tracking of Mobile Robots Based on Disturbance Observer
    XU Kun, CHEN Mou
    Journal of Applied Sciences    2016, 34 (2): 177-189.   DOI: 10.3969/j.issn.0255-8297.2016.02.008
    Abstract1193)      PDF(pc) (9640KB)(564)       Save
    Focusing on the trajectory tracking problem of mobile robots, an integral sliding mode controller based on a disturbance observer is designed. By considering the influence of skidding and disturbances, kinematic and dynamic models of the mobile robot are established. An adaptive disturbance observer based on the terminal sliding mode theory is designed to realize finite-time estimation of the compound disturbance. A trajectory tracking controller based on kinematic model is then designed, with which the position tracking error converges asymptotically and the angular tracking error is bounded. Combining the disturbance observer and the integral sliding mode method, a velocity tracking controller is designed based on a dynamic model. Finally, simulation results are given to verify effectiveness of the developed control algorithm.
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    Cooperative Control off Our-Rotor UAV Based on Multi-sensor Fusion
    ZHANG Lei, LU Yu-ping, YIN Ming
    Journal of Applied Sciences    2016, 34 (2): 190-202.   DOI: 10.3969/j.issn.0255-8297.2016.02.009
    Abstract1275)      PDF(pc) (2344KB)(817)       Save
    To deal with hovering control of four-rotor UAV from a practical point of view, a scheme of multi-sensor data fusion and a corresponding law of cooperative control are proposed. Based on the overall hardware frame of the aircraft, and within-depth analysis of each sensor in the measurement system, a Kalman filtering algorithm is developed for attitude measurement and a complementary filtering algorithm developed for height measurement. A dual sensor fusion algorithm is proposed to measure horizontal position. A four-rotor UAV model is established using small perturbation linearization. Based on the model, a corresponding cooperative control algorithm is designed. Simulation is performed to test the practicability. All algorithms are applied to a physical platform to verify effectiveness. The results show that the multi-sensor fusion algorithm combined with a coordination controller is reliable and effective. It can effectively improve accuracy of fixed-point hovering of four-rotor UAVs.
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    Finite-Time Tracking Control of High-Performance Underactuated USV
    LIU Hai-tao, TIAN Xue-hong, WANG Gui
    Journal of Applied Sciences    2016, 34 (2): 203-214.   DOI: 10.3969/j.issn.0255-8297.2016.02.010
    Abstract968)      PDF(pc) (4186KB)(433)       Save
    Finite-time tracking control is proposed for incomplete symmetrical highperformance underactuated unmanned surface vehicles (USV). Global diffeomorphism transformation is used to obtain the form of nonlinear cascaded systems. Thus tracking control of the original USV system is transformed to stabilization of the cascade system. Based on the finite-time Lyapunov theorem, a finite-time convergent controller is designed to obtain fast response and high tracking-precision. The theoretical analysis and simulations show feasibility and effectiveness of the proposed method.
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    Cited: Baidu(2)
    Guidance and Control of Autonomous Aerial Refueling Rendezvous Trajectory Chasing Based on Sliding Mode Method
    GONG Quan-quan, YUAN Suo-zhong, ZHANG Jin
    Journal of Applied Sciences    2016, 34 (2): 215-226.   DOI: 10.3969/j.issn.0255-8297.2016.02.011
    Abstract869)      PDF(pc) (7200KB)(355)       Save
    Based on the relative position and the line of sight between the receiver and the tanker aircraft, the receiver's normal and lateral flight acceleration command are generated using a sliding mode method to meet the trajectory chasing requirement. A dynamic inversion method is used to transform the desired acceleration to angular rate according to the kinematic relations. The roll angle command is designed to coordinate bank-toturn simultaneously. Tracking control of the angular rate loop is achieved using dynamic inversion. The forward acceleration command is generated according to the relative speed and range between the receiver and tanker. The velocity control law is designed using dynamic inversion. Nonlinear digital simulation results demonstrate that the controller is capable of guiding the receiver to rendezvous with the tanker, and the transient performance is good.
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    Experimental Study of Micro-jet Impingement Cooling Loop System with Micro/Mini-channels
    ZHU Li-yao, DONG Li-ning, WANG Jiang, XU Tao, CAO Jian-guang
    Journal of Applied Sciences    2016, 34 (2): 227-236.   DOI: 10.3969/j.issn.0255-8297.2016.02.012
    Abstract828)      PDF(pc) (15141KB)(374)       Save
    A liquid cooling loop system with micro-jet arrays and micro/mini-channels was designed for high-heat-flux cooling applications. Flow boiling experiments under different operation conditions were conducted to study flow and heat transfer performance of the heat sink. The effects of micro-jet geometry such as shape, diameter and height of jet hole are analyzed. Good agreement between the experimental data and the predictions has been found.
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    Journal of Applied Sciences    2016, 34 (3): 0-0.  
    Abstract130)      PDF(pc) (47KB)(297)       Save
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    Journal of Applied Sciences    2016, 34 (3): 0-0.  
    Abstract369)      PDF(pc) (388KB)(344)       Save
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    Optimization of Electronic Control Scheme of Multi-layer Phase-Modulated Surface and Its Influence on Scattering Properties
    FU Yi, HONG Tao
    Journal of Applied Sciences    2016, 34 (3): 237-250.   DOI: 10.3969/j.issn.0255-8297.2016.03.001
    Abstract692)      PDF(pc) (4634KB)(563)       Save

    To improve absorbing properties of phase-modulated surface (PMS), a method for optimizing the switching scheme of PMS using a differential evolution (DE) algorithm is proposed. The number of active layers in PMS is increased. Scattering properties of PMS are theoretically studied using a time-modulation theory. The switching scheme of PMS is optimized using the DE algorithm. The results indicate that the optimized switching scheme can minimize the spatial coverage of scattered echo at the incident frequency. The effect is further enhanced as the number of active layers in PMS increases. The floor effect occurs when the number of active layers reaches a certain value, limiting the PMS structure conversely. This research is meaningful for the design of PMS by balancing its absorbing properties and structure complexity.

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    Impact of Antenna Characteristic on MIMO Channel Spatial Correlation
    XUE Cui-wei, ZHU Qiu-ming, CHEN Xiao-min, LIAO Zhi-zhong, LIU Xing-lin
    Journal of Applied Sciences    2016, 34 (3): 251-262.   DOI: 10.3969/j.issn.0255-8297.2016.03.002
    Abstract1496)      PDF(pc) (3585KB)(760)       Save

    In view of the influence of physical characteristics of an antenna on spatial correlation of a MIMO channel, this paper establishes a MIMO channel model including both coupling and polarization by analyzing and modeling the mechanism of mutual coupling and antenna polarization. Based on this model, a theoretical expression of spatial correlation for the MIMO channel model is derived, and applied to 3GPP SCM standard channel propagation. Simulation results show that the mutual coupling effect becomes significant as the antenna spacing decreases, and the polarization factor varies due to different polarization angle combinations. Moreover, both mutual coupling and polarization can reduce spatial correlation to some degree, but they cannot improve system capacity.

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    Secrecy Scheme of Two-Way Space Hopping Transmission in Physical Layer
    QIN Wei, XU Jia-ping, LI Tao
    Journal of Applied Sciences    2016, 34 (3): 263-274.   DOI: 10.3969/j.issn.0255-8297.2016.03.003
    Abstract923)      PDF(pc) (2260KB)(505)       Save

    In this paper, a bidirectional training based technique is proposed for multiantenna space hopping transmission, which ensures information security of two-way transmission in the physical layer. The proposed scheme can guarantee the identity of channel characteristics obtained by two legitimate transceivers via bidirectional training. A space hopping pattern generation algorithm is presented, which calculates the pattern according to channel characteristics. The antenna switching mode is controlled by the pattern that selects several antennas for fast switching transmission. Conventional schemes resort to a backward training method, hiding the channel between transceiver and eavesdropper so that an eavesdropper cannot receive correctly with wrong weighting, thus achieving security of transceivers. The default mode is that a receiver only receives. Contrarily, the proposed scheme uses a switching mode to ensure transmission secrecy. To improve training efficiency, a spatial frequency multiplexing training method is used, with almost identical accuracy and significantly enhanced efficiency. Simulation results show that the proposed scheme has good performance in anti-eavesdropping as it causes a high bit error rate for the eavesdropper.

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    Cited: Baidu(2)
    Power-Efficient Clustering-Based Spectrum Allocation in Heterogeneous Cellular Networks
    XIANG Wei, ZHANG Jian-feng, XIE Wei, MA Wen-feng
    Journal of Applied Sciences    2016, 34 (3): 275-285.   DOI: 10.3969/j.issn.0255-8297.2016.03.004
    Abstract844)      PDF(pc) (4036KB)(574)       Save

    To solve the interference and power consumption problems between the macrocell base stations (MBSs) and the femto-cell base stations (FBSs), and that among FBSs, the paper proposes a power-efficient clustering-based spectrum allocation strategy (CSAS). According to outage probability of femto-cell users (FUEs), the maximum number of femtocell base stations contained in a cluster is derived. Under the restriction of the cluster capacity and OP, SIR of FUEs and minimum interference distance between FBSs in a cluster is further derived to strictly guarantee each FUE's SINR. A clustering algorithm and a spectrum allocation algorithm are proposed. Simulation results show that the proposed strategy improves power efficiency of the network and spectral efficiency of the femto-cell network.

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    Improved Blind Channel Estimation for MIMO-OFDM Systems
    LI Guo-min, LIU Xin, KANG Xiao-fei, LIAO Gui-sheng
    Journal of Applied Sciences    2016, 34 (3): 286-292.   DOI: 10.3969/j.issn.0255-8297.2016.03.005
    Abstract758)      PDF(pc) (4647KB)(413)       Save

    Channel estimation for MIMO-OFDM systems by linear precoding requires repeated calculation of ambiguity matrices. To solve the problem, a blind channel estimation algorithm is proposed. It unifies different channel ambiguity matrices by processing crosscorrelation matrices of received signal, and then estimates the channel using an iterative method. Simulation results show that the proposed algorithm has good mean square error performance and convergence, and less computational complexity compared with existing channel estimation methods based on linear precoding.

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    Cited: Baidu(2)
    Outage Probability Analysis for Multi-sensor Backscatter Communication
    YAN Ting-ting, HU Sheng-bo, SHI Yan-feng, SONG Xiao-wei
    Journal of Applied Sciences    2016, 34 (3): 293-301.   DOI: 10.3969/j.issn.0255-8297.2016.03.006
    Abstract1046)      PDF(pc) (1561KB)(515)       Save

    Outage probability is a vital index in analyzing wireless multi-sensor backscatter communication. A classical model of multi-sensor backscatter communication system is used for analyzing outage probability. A closed-form solution of outage probability for a lognormal shadow channel is given. Using Monte Carlo simulation and numerical integration, factors affecting outage probability are analyzed. The result of Monte Carlo simulation is consistent with that of numerical integration. The outage probability error of numerical analysis is less than 1.481%. Meanwhile, with increase of the SINR threshold, the outage probability increases. If the SINR threshold is too large, mutual interference among sensors becomes severe. On the contrary, if SINR threshold is too small, mutual interference is greatly reduced. These conclusions provide a reference for analyzing reliability and designing of backscatter communication systems.

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    Application of GNSS Based on Orthogonal Test
    QI Yong-qiang, ZHANG Yan-zhong, ZHANG Bo, LI Shu-jian
    Journal of Applied Sciences    2016, 34 (3): 302-308.   DOI: 10.3969/j.issn.0255-8297.2016.03.007
    Abstract1062)      PDF(pc) (3985KB)(315)       Save

    With rapid development and improvement of four satellite navigation systems, multi-systems are widely used in global navigation satellite system (GNSS) applications. This paper studies combination navigation of GNSS multi-systems. A navigation test of GNSS multi-systems is designed with orthogonal experiments of three factors at different levels. In the test, the RMS and PDOP mean value of position error are evaluated as indicators of GNSS positioning accuracy. Three factors, combined system, frequency and masking angle, are selected. As there are different levels for 3 factors, a mixed-level orthogonal array is selected. A test is carried out with the appropriate receiver according to the design. Optimal application of GNSS multi-system combination under a specific environment in a specific region is obtained by an overall equilibrium method based on the test result. The test shows that the described method is feasible and effective in solving the problem of optimization combination of GNSS multi-system. Calculation and analysis of the result are simple and objective.

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    Adaptive Print-Scan Resilient Image Watermarking Based on Fourier Transform
    LIAO Ting, LI Zhi-jiang
    Journal of Applied Sciences    2016, 34 (3): 309-316.   DOI: 10.3969/j.issn.0255-8297.2016.03.008
    Abstract1065)      PDF(pc) (3822KB)(782)       Save

    A robust blind watermarking scheme that combines uniform log-polar mapping and perceptual band decomposition of Fourier domain is proposed, which can resist general print-scan attacks. The proposed scheme can guarantee invisibility and increase robustness of the watermark. Perceptual band decomposition that splits the Fourier domain into overlapping sub-bands is used to locate the mid-frequency domain. Uniform log-polar mapping is applied to mid-frequencies in the Fourier domain. Watermark embedding in the mid-frequencies is adaptively controlled by the local spectrum property. Finally, a spatial perceptual mask is used to compensate distortion after the embedded image is inversely transformed back to the spatial domain. Both the theoretical analysis and experimental results show that the proposed scheme is invisible, and robust against general print-scan attacks.

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    Improving Atmospheric Correction Precision of Remote Sensing Image Inversion in Southeast Rocky Desertification Area of Yunnan
    LI Su-min, YUAN Li-wei, YUAN Xi-ping
    Journal of Applied Sciences    2016, 34 (3): 317-328.   DOI: 10.3969/j.issn.0255-8297.2016.03.009
    Abstract876)      PDF(pc) (15558KB)(293)       Save

    Based on the aerosols spatial distribution and the near effect of the earth's surface, the paper studies the influence of different calibration files for spectral reflectance, determines appropriate calibration information, takes into account humidity, and determines reasonable visibility through spectral analysis. These values are used in the calculation of atmospheric correction to improve precision of atmosphere correction. The results show that they can effectively reduce the effects of air molecules, water vapor, aerosol particles, and ozone on the satellite remote sensing images, and improve remote sensing information inversion accuracy in the rocky desertification area. The performance of this method is better in winter than in autumn and spring.

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    Impact of Discontinuous Immunity on SIR Computer Virus Model
    ZHANG Dao-xiang, LI Xun
    Journal of Applied Sciences    2016, 34 (3): 329-338.   DOI: 10.3969/j.issn.0255-8297.2016.03.010
    Abstract805)      PDF(pc) (882KB)(431)       Save

    This paper studies the impact of discontinuous immunity on global dynamics of a computer virus model. Using differential inclusion, we define the solution of Filippov, and study existence and uniqueness of equilibrium. We get the basic reproduction number R0 by calculation. By constructing a Lyapunov function, we show that all solutions converge to disease equilibrium in a finite time when R0 > 1. Similarly, all solutions converge to free disease equilibrium in a finite time when R0 < 1. Numerical simulations are carried out to illustrate and expand the theoretical results.

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