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    Fault Detection Filter Design for a Class of Linear Time-invariable Systems
    CHEN Yu-dong, WENG Zheng-xin, SHI Song-jiao
    Journal of Applied Sciences    2001, 19 (4): 308-312.  
    Abstract265)      PDF(pc) (210KB)(104)       Save
    A new full order detection filter for a class of time-invariable systems is proposed. It obtains a detection filter for the original system by augmenting the original system and designing a new one. This filter can asymptotically detect m (can be increased to n) faults that occur simultaneously with the initial state estimations error. The relation between the detection threshold, designing parameters and the performance of the filter is analysed. The rules for the choice of the parameters and threshold in the design procedure are also given. The simulation result indicates that this detection filter has good detection capability.
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    Cited: Baidu(1)
    Direction-of-Arrival Estimation for Improving Resolution Performance of Spatial Spectrum Algorithm
    SI Wei-jian1, LAN Xiao-yu1, LIU Xue2
    Journal of Applied Sciences    2013, 31 (4): 381-386.   DOI: 10.3969/j.issn.0255-8297.2013.04.008
    Abstract1984)      PDF(pc) (4791KB)(1453)       Save
    Resolution of the multiple signal classification (MUSIC) algorithm decreases under severe environments such as low SNR, small number of snapshots, and incidence from close angles. To deal with the problem, a modified high-resolution direction-of-arrival (DOA) estimation method is proposed. The algorithm
    makes full use of information contained in the subspace. By weighting noise subspace with the corresponding revised eigenvalues, a new spatial spectrum is obtained, which is multiplied by the signal subspace projection. By searching the maximum of the spectrum function, the DOAs are obtained. Simulations and experiments confirm that the proposed method can keep high resolution of noise subspace, and improve robustness of the algorithm.
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    Reversible Data Hiding Based on Frequency Selection in JPEG Images
    HUANG Dan, CHENG Si-jin, HUANG Fang-jun
    Journal of Applied Sciences    2018, 36 (2): 209-219.   DOI: 10.3969/j.issn.0255-8297.2018.02.001
    Abstract795)      PDF(pc) (15216KB)(378)       Save

    In this paper, by studying the encoding method of the discrete cosine transform (DCT) coefcients of joint photographic experts group (JPEG) image, and analyzing the relationship between the statistical properties of the DCT coefcients and coding length, we fnd that hiding data into DCT coefcients belonging to the mid-and-high frequency bands will lead to less fle size increment. Therefore, we propose a novel reversible data hiding (RDH) method based on the frequency selection strategy, in which the DCT coefcients of cover image are classifed into different groups based on their frequency bands, and the DCT coefcients of adjacent blocks belonging to the same frequency band are classifed into the same group. Thereafter, those groups with more zero coefcients are chosen preferentially for reversible data hiding. Experimental results demonstrate that the proposed RDH method can not only lessen the fle size increase introduced by data hiding greatly, but also perverse the image visual quality well.

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    Evolutionary Computation-based MMI Training in Speech Recognition
    MAO Xiao-quan, HU Guang-rui, TANG Bin
    Journal of Applied Sciences    2002, 20 (3): 251-253.  
    Abstract604)      PDF(pc) (201KB)(178)       Save
    This paper proposes a hybrid MMI/EC architecture to be embedded in the training of HMMs. Each individual in evolutionary computation represents a set of HMMs, while the fitness value of each individual represents the maximum mutual information. Since evolutionary computation is noted for its global search and population-based operations, the globally optimal solutions (or the sub-optimal solutions) can be obtained. Experiments indicate that the system trained with the proposed method is superior to the one trained with the traditional gradient based training method.
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    POLARONS IN A SEMI-INFINITE POLAR CRYSTAL
    GU SHIWEI, ZHANG JIE
    Journal of Applied Sciences    1986, 4 (4): 338-342.  
    Abstract390)      PDF(pc) (295KB)(103)       Save
    In this paper, the effective Hamiltonian of a strong coupled surface polarons in a polar crystals is obtained by means of a linear combination operator method and a simple unitary transformation. For the two limit cases of electrons near to and far from the crystal surface, analytical formulas of image potential and self-trapped energy are obtained.
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    Cited: Baidu(3)
    THE STUDY OF THERMAL DEGRADATION OF POLYOXYMETHYLENE
    CHEN WBI, ZHOU WBNQIAO, FENG YANGJIE
    Journal of Applied Sciences    1992, 10 (4): 364-370.  
    Abstract632)      PDF(pc) (448KB)(167)       Save
    Using the thermal analysis technique (TG/DTA/DTG), we have made the research of POM thermal degradation without oxygen in different experimental conditions, determined the mechanism of POM thermal degradation without oxygen ag the first order random degradation and obtained the kinetic parameters of degradation, E, In A and L the least number of repeating units of polymers not volatilized).
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    Cited: Baidu(4)
    THE APPLICATION OF PATTERN RECOGNITION AND LINEAR PROGRAMMING IN THE OPTIMIZATION OF THE REACTION PROCESS OF F-53 TELOMER
    XU CHI, ZHANG ZHONG, LU JINZHONG
    Journal of Applied Sciences    1991, 9 (4): 323-328.  
    Abstract513)      PDF(pc) (390KB)(97)       Save
    The technological condition of the reaction process and the proportion of raw materials of F-53 telomer (IC2F4OC2F4SO4F) were optimized by computerized pattern recognition and linear programming. The target function based on the discriminant introduced from the transformation of multi-dimensional pattern space can determine the optimizational direction and best combination of all factors. Using the optimization method the yield rate increases from 43% to 57.6%. The method has great potentialities for the decrement of the expense of raw materials and that of production cost.
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    Cited: Baidu(1)
    Impact of Relay Location on SER for Amplify-and-Forward Cooperative Communications
    LI Yun1;2, HUANG Qing1
    Journal of Applied Sciences    2012, 30 (5): 479-486.   DOI: 10.3969/j.issn.0255-8297.2012.05.007
    Abstract2542)      PDF(pc) (925KB)(1130)       Save

    In this paper, we analyze the symbol error rate (SER) for end-to-end link in amplify-and-forward (AF) cooperative networks. An optimal relay position is made by setting the distance between nodes. A multihop relay selection algorithm based on channel state information (CSI) is proposed, which is the expansion of single-hop relay selection to ensure the lowest SER of the cooperative node. A multi-hop relay selection algorithm based on node position is then investigated according to the impact of node position on system performance. Simulation results indicate that the optimal multi-relay position is at the midpoint between the source and destination nodes, and the multi-hop method provides significant performance gain in terms of total energy over the exiting AF relay selection algorithms.

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    Cited: Baidu(1)
    Design and Realization of Harmonic-Suppressed Low-Pass Filter Using Defected Ground Structure
    Qi Yu-jie;Liu Xue-guan
    Journal of Applied Sciences    2008, 26 (1): 51-51.  
    Abstract2025)            Save
    This paper presents a method to use the equivalent-circuit model and 3-D model simulation for the DGS to extract the dimension parameters. Combining an inter-digital elliptic-function low-pass filter with the DGS structure, a novel filter is proposed. A compensated feed-line structure on the side of the inter-digital elliptic-function low-pass filter is designed, and a couple of suitable DGSs are etched under compensated lines. Furthermore, full-wave simulation and optimization of the proposed filter are obtained with HFSS to get better impedance match. The design gives performances of a flat passband, a wide stopband and a compact structure. Agreement between experimental results and measurements shows validity of the DGS filter, which has good harmonic-suppressed characterizes.
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    Cited: Baidu(3)
    Analysis for Psychological Scale Big Data Based on Improved Ising Model
    YAO Rujing, YANG Lei, YANG Tao, HU Yingxin, TIAN Qiang, WU Ou
    Journal of Applied Sciences    2020, 38 (3): 339-352.   DOI: 10.3969/j.issn.0255-8297.2020.03.001
    Abstract1119)      PDF(pc) (10581KB)(205)       Save
    In recent years, the quantitative measurement of individual psychology has attracted more and more attention of administrators and researchers. It has become a new trend to use Ising model for analyzing the psychological scale data. In this paper, aiming at the shortcomings of the existing Ising model, we propose a multi-class Ising model and an ordinal Ising model. By applying them to analyze a large-scale psychological scales data set, we verify the performance of the two improved Ising models, construct complex networks of psychological scales for different groups of people, and conduct the comparisons of various indicators. Some meaningful conclusions have been drawn from the constructed psychological networks, and how machine learning and big data can be better involved in the analysis of psychological scale big data is discussed as well.
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    Paramatric Adaptive Decomposition Based on Gaussian Elementary Functions and Related Adaptive Time-frequency Distribution
    MA Shi-wei, DEN Jia-mei, CAO Jia-lin
    Journal of Applied Sciences    2001, 19 (1): 33-36.  
    Abstract576)      PDF(pc) (177KB)(180)       Save
    We propose a method of adaptive signal decomposition based on the linear frequency modulated Gaussian elementary functions and the related adaptive time-frequency distribution that is positive, cross-term interference free and with better time and frequency resolution. The set of the elementary functions is obtained by the successive matching of the signal local nature with the single prototype Gaussian function through regulating its variance, sweep rate, translation and modulation in an adaptive manner. The matched coefficients and the parameters contain all the information of the signal and can be used for the further processing of the signal. The effectiveness of the method has been proved by simulation results.
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    Sub-Pixel Edge Detection Based on Spatial Moment and Zernike Moment
    DING Xing-hao, DENG Shan-xi, YANG Yong-yue, ZHAO Qian-cheng
    Journal of Applied Sciences    2004, 22 (2): 191-194.  
    Abstract512)      PDF(pc) (192KB)(212)       Save
    The theories of spatial moment and Zernike moment are presented. An edge model with four parameters has been built and the relations between edge parameters and the two moments are analyzed respectively. The values of edge parameters are calculated to get the edge image. The method can locate edges to sub-pixel.
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    Cited: Baidu(37)
    Automatic Tracking of Soil Using Digital Image Correlation
    WANG Wei1;2, HE Xiao-yuan2, MENG Yun-mei1
    Journal of Applied Sciences    2009, 27 (6): 574-579.  
    Abstract1605)      PDF(pc) (2391KB)(1469)       Save

    In order to explore the dynamic evolution law of soil microstructures in real time, image correlation,
    matching template and search region adapted to the automatic tracking system are studied towards moving features
    of soil particles under loadings. It is vital to satisfy the real-time requirement and accuracy performance of the
    tracking system. By analyzing calculation time, kurtosis and statistical distribution of four types of correlation
    coefficients, we propose to use the square relation instead of the traditional cubic formula. The rectangular template
    and search region are used to replace the square template and search region to take advantage of the template’s gray
    information and meet the real-time requirement. Experimental results show that the automatic tracking system is
    reliable, which provides an experimental means for the research of continuous deformation in the soil microstructure.

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    Cited: Baidu(2)
    Review of Optofluidic Laser Based Biochemical Sensing
    WANG Chaoqin, SONG Haoyue, YANG Xi, WANG Yanqiong, GONG Yuan
    Journal of Applied Sciences    2021, 39 (5): 809-820.   DOI: 10.3969/j.issn.0255-8297.2021.05.007
    Abstract1978)      PDF(pc) (3361KB)(282)       Save
    Optofluidic laser has shown great potential in biochemical sensing. Here in this review, we systematically introduced the sensing mechanism and research progress of optofluidic laser based biochemical sensors. The gain medium regulated optofluidic laser sensing mainly depends on the quantity and state of gain molecules. When the biochemical reaction or molecules change the characteristics of microcavity, the resonance condition changes accordingly, and the change can be reflected and read out in the modes, wavelength and emission direction of lasing light. Furthermore, the biochemical molecules can introduce absorption loss and scattering loss in the laser cavity, causing measurable deterioration in laser intensity. Thanks to the amplification of lasing process and optical microcavity, and the narrow linewidth of laser, the laser output characteristics are ultrasensitive to the subtle changes of biochemical process to achieve high sensitivity and high-throughput biochemical sensing.
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    Detection of Composite Images Based on JPEG Compression Properties

    LI Sheng;ZHANG Xin-peng
    Journal of Applied Sciences    2008, 26 (3): 281-281.  
    Abstract2377)            Save
    This paper proposes an image forgery detection scheme based on JPEG compression properties, which aims to identify a special type of images that are composed of contents from different JPEG images. Inconsistency in compression qualities and block boundaries in a suspicious image can provide a clue for forgery detection. By recompressing the image with different quality factors and analyzing the induced distortion, we can estimate the quality factor initially used in the main area of the image. Thus, inconsistency can be found from fluctuation of distortion energy in different areas. The proposed scheme is capable of identifying objects from different origins, and provides a useful means of digital forensics.
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    Impact of Epidemic on Consumer Economy via Transaction Data
    PAN Jing, CHAI Hongfeng, QIN Zheng, SUN Quan, GAO Pengfei, ZHENG Jianbin
    Journal of Applied Sciences    2022, 40 (2): 338-348.   DOI: 10.3969/j.issn.0255-8297.2022.02.015
    Abstract1607)      PDF(pc) (627KB)(123)       Save
    The sudden COVID-19 pandemic has led to unprecedented impact on China's economic and social development, especially on consumer economy. Payment is the most closely related economic activity regarding consumers, the data of which can accurately capture the characteristic of the consumer economy. Given the point of view, this paper makes an in-depth exploration in the research direction of payment data. Based on the transaction data from China UnionPay, this paper quantifies the impact of the epidemic on consumer economy and makes a comparative analysis of different provinces and industries. The paper quantitatively reveals that the epidemic progress significantly affects the consumer confidence and the development of consumer economy. According to our analysis, it is unwise to restart work resumption when the epidemic is still not under effective control. From the perspective of payment, this paper profoundly tells about the story of how China fights against the epidemic and puts forward relevant suggestions for the follow-up epidemic prevention and control as well as the comprehensive economic recovery policies.
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    GROWTH AND OPTICAL PROPERTIES OF SCINTILLATION CRYSTAL CdWO4
    Xu JUN, MA XIAOSHAN, Wu GUANGZHAO, SHEN YAFANG, ZHANG XINMIN, Gu JI
    Journal of Applied Sciences    1991, 9 (2): 182-184.  
    Abstract567)      PDF(pc) (991KB)(95)       Save
    Large size crystal CdWO4 has been successfully grown with the CZ method heated by a high-frequency inducing generator. We find that the oxygen vacancy and Fe3+ impurities are the main reasons for crystal colouration. The luminescence spectra of crystal CdWO4 have also been measured.
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    DETERMINATION OF THE PULSE WIDTH OF PULSED MAGNETIZING FIELD FOR A RARE EARTH MAGNET WITH HIGH COERCIVE FORCE
    FU ZHIYU, XU MEIJIE
    Journal of Applied Sciences    1993, 11 (2): 131-135.  
    Abstract386)      PDF(pc) (370KB)(82)       Save
    An effective device which can generate the pulsed magnetizing field is shown. The approximate expression for the pulsed magnetizing field is derived, and its pulse width and peak intensity related to the circuit elements are given. A reasonable physical model which describes the magnetization process and involves the magnetic hysteresis and eddy current is presented, and the numerical computation is made. The pulse field widths which are required to magnetize the specific magnets are determined, and the useful design parameters are obtained.
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    Application of Optical Fiber Grating Technology in Edge Detection of Glass Curtain Wall
    WANG Yongxiang, HE Haitao, WU Jun, YANG Qijiang, XU Donghua
    Journal of Applied Sciences    2020, 38 (6): 853-863.   DOI: 10.3969/j.issn.0255-8297.2020.06.002
    Abstract750)      PDF(pc) (17438KB)(259)       Save
    Address to safety accidents problems of glass curtain wall such as glass drop induced by structural adhesive failure and aging or high wind pressure load, we put forward a kind of edge dynamic stress detection method based on fiber Bragg grating sensing technology. We construct a multimode coupling model between glass panel edge strain and structural glue for predicting the structure safety of glass curtain wall. By comparing and analyzing the simulation and experimental data of multimodal strain, it can be obtained that the quasi-distributed fiber Bragg grating can indicate the failure position of the structural glue, and evaluate and feedback the safety performance of the structural glue of glass curtain wall in advance. It is of practical value to timely replace insecure glass, reduce the falling accidence of glass curtain wall, reduce economic loss and improve the safety of glass curtain wall.
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    Lossless Data Hiding in Palette Images Based on Mix-ary Codes
    LÜ Jin-peng, LIANG Hai-hua, ZHANG Xin-peng
    Journal of Applied Sciences    2015, 33 (6): 637-643.   DOI: 10.3969/j.issn.0255-8297.2015.06.007
    Abstract1279)      PDF(pc) (9501KB)(560)       Save
    This paper proposes a lossless data hiding method in palette images based on mix-ary codes. According to the distributionof indices, the indices are divided into effective indices and redundant indices. In the palette a certain number of redundant indices are mapped to the color of an effective index. Then the indices mapping to the same color stand for different secret digits in order to embed extra data losslessly. A dynamic programming algorithm is used to find the best allocation for redundant indices to achieve the highest embedding capacity. Embedded data subsets carried by different colors are different notational sequences. The data embedding operation does not affect the original image.Experiments showthat themethod has higher embedding capacity than previous methods, especially for medical images.
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