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Detection of Seam Carved Image Based on Additional Seam Carving Behavior
Yongzhen Ke,Qingqing Shan,Fan Qin,Weidong Min,Jing Guo 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.2
Seam carving is a kind of content aware image retargeting algorithm and can be applied to resize and deliberately remove objects from digital images. Based on the observation that after applying an additional seam carving operation, the similarity, the energy relative error, and the difference of seam distance of original image are quite different from those of the seam-carved image, we propose and develop a new method for detecting seam carving or seam insertion of natural images without knowledge of the original image. First, we apply an additional seam carving operation to the testing image, then calculate similarity, energy relative error, and difference of seam distance between the testing image and its seam carved version. Last, we extract 11 dimensional features to detect seam carving operation to train a support vector machine classifier for recognizing whether an image is an original or it has been modified using seam-carving. Our experimental results demonstrate that our proposed forensic method achieves not only better detection rate but also lower dimensional features compared with other existing seam carved detection methods.
Yongzhen Guo,Yang Luo,Weiping Wang,Xiong Luo,Chao Ge,Jürgen Kurths,Manman Yuan,Yang Gao 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.2
This paper focuses on the dynamical characteristics of complex-valued memristor-based BAM neural network (CVMBAMNN) with leakage time-varying delay. With two different controllers, we have obtained fixedtime and finite-time synchronization criteria respectively in complex domain for our special model, which few work has studied before. Since fixed-time synchronous system can improve communication security, we designed a scheme for RGB image encryption and decryption. In order to satisfy the requirement of much lower error in image secure communication, our approach can get the error of fixed-time synchronization to about 1×10−13. Due to our highly consistent system, we do get good encryption and decryption effect with encryption and decryption scheme. Finally, numerical simulations are included to demonstrate the correctness of our theoretical results.
Graphene/Carbon Nanotubes Hybrid Electrode Materials for High Performance Supercapacitor
Yongzhen Wang,Yong Wang,Yuyu Liu,Azuma Ohuchi,Xiaomin Wang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2015 NANO Vol.10 No.5
A graphene (GN)/carbon nanotubes (CNTs) nanocomposite electrode material were prepared via reduction of exfoliated graphite oxides in the presence of CNTs pretreated by mixed acid. The GN/CNTs nanocomposite characterized by X-ray diffraction (XRD), Raman spectrum (Raman) and scanning electron microscope (SEM) has a layered structure with CNTs uniformly sandwiched between the GN sheets, which efficiently decreased the agglomeration GN sheets. Electrochemical data demonstrate that the GN/CNT exhibited higher specific capacitance than that of graphene.
An Efficient Blind Detection Algorithm of Median Filtered Image
Yongzhen Ke,Fan Qin,Weidong Min,Qiang Zhang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
Due to the significant advances of digital photography and the availability of many powerful photo editing tools, it becomes easier to create forgery images by non-professional users. Median filtering that is usually applied to erase the forensically significant fingerprints has recently received increased attention. In this paper, we present an effective blind forensic algorithm to detect the median filtering manipulation. First, the median filtered residual (MFR) is generated by computing the difference between a testing image and a median filtered version of itself. Then, three feature sets including histogram, autocorrelation and gradient are extracted from the median filter residual. Last, those features are fetched into support vector machine (SVM) for training and classification. Our experimental results demonstrate that our proposed forensic method achieves not only better detection rate but also lower computational complexity compared with other existing median filtering detection methods. Our proposed forensic method also can locate local median filtering of image effectively.
Yongzhen Wang,Borui Wang,Dandan Xu,Meng Zhang,Xiaohua Zhang,Deguo Wang 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.4
Background: Due to the unavailability of an effective vaccine or antiviral drug against the African swine fever virus (ASFV), rapid diagnosis methods are needed to prevent highly contagious African swine fever. Objectives: The objective of this study was to establish the ladder-shape melting temperature isothermal amplification (LMTIA) assay for the detection of ASFV. Methods: LMTIA primers were designed with the p72 gene of ASFV as the target, and plasmid pUC57 was used to clone the gene. The LMTIA reaction system was optimized with the plasmid as the positive control, and the performance of the LMTIA assay was compared with that of the commercial real-time polymerase chain reaction (PCR) kit in terms of sensitivity and detection rate using 200 serum samples. Results: Our results showed that the LMTIA assay could detect the 104 dilution of DNA extracted from the positive reference serum sample, which was the same as that of the commercial real-time PCR kit. The coincidence rate between the two assays was 100%. Conclusions: The LMTIA assay had high sensitivity, good detection, and simple operation. Thus, it is suitable for facilitating preliminary and cost-effective surveillance for the prevention and control of ASFV.
Soil-atmosphere interaction as triggering factors of openings between embankment and pavement
Yongzhen Cheng,Xiaoming Huang,Chang Liu,Lianyou Li 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.5
The analysis of openings between embankment and pavement due to uneven deformations of the highway embankment isincapable of accurate prediction when the pattern of seasonal weather variation is considered. This realization was used for elaborateopenings analyses which include infiltration and evapotranspiration of the embankment soils to better predict atmosphere-inducedopenings between embankment and pavement at Nairobi where the longitudinal cracks of the pavement structure occurred during theperiod of the season alternation. The empirical equations were used to estimate evapotranspiration and the soil–water characteristiccurve was established for the embankment soils. The consolidation theory and the moisture swelling model were then used toestimate performances of the highway embankment under atmospheric influence. A field test was conducted to verify the simulatedmoisture change in soil and soil movement, and small difference between simulated and measured values was found. The resultsshowed that openings between embankment and pavement would occur when the highway embankment had undergone unevendeformations due to the rainfall and evapotranspiration, there were small openings during the dry season, but the maximum openingsreached 10.2 mm and 25.5 mm during the first rainy season and the most intense rainy season, respectively.