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Efficient reversible data hiding scheme based on two-dimensional modulo operations
Yue LI, Dan TANG, Minjun SUN, Xie WANG, Hongliang CAI, Qiong ZENG
Journal of Computer Applications    2024, 44 (6): 1880-1888.   DOI: 10.11772/j.issn.1001-9081.2023060900
Abstract177)   HTML9)    PDF (6712KB)(148)       Save

Aiming at the problem of low embedding efficiency and anti-detection capability when using Reversible Data Hiding (RDH) to protect data in scenarios with large data volume delivery, an efficient reversible data hiding scheme based on two-dimensional modulo operations was proposed. Firstly, a larger amount of information was embedded in smaller modified pixel values by modulo operations, then the number of embedded bits was increased by combining with an enhanced base conversion system, and finally the reversibility was conferred by using the halving method in combination with a double image. Simulation experiments conducted on the USC-SIPI standard image library show that the Peak Signal-to-Noise Ratio (PSNR) value of the steganographic image by the proposed scheme is about 40 dB when embedding up to 1 million bits of secret information, and the steganographic image can effectively resist the static attacks of RS (Regular Singular) steganalysis, Pixel-Difference Histogram (PDH) steganalysis, and bit-plane steganalysis. Therefore, the proposed scheme effectively improves the embedding efficiency of the original image, and has good anti-detection capability at the same time.

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Construction and application of 3D dataset of human grasping objects
Jian LIU, Chenchen YOU, Jinming CAO, Qiong ZENG, Changhe TU
Journal of Computer Applications    2024, 44 (1): 278-284.   DOI: 10.11772/j.issn.1001-9081.2023010009
Abstract350)   HTML8)    PDF (5236KB)(193)       Save

Realistic human grasping data is of vital importance in the research of human grasping behavior analysis and human-like robotic grasping. A grasping dataset should include object shape information, contact points, and hand shapes and poses. However, related works often capture images or videos to estimate the human grasping behavior, which leads to the inaccuracy of joint degrees of freedom. Virtual Reality (VR) technology was used to establish a virtual environment, and digital gloves were used to directly capture 3D objects and hand poses in the virtual environment as capturing data. The proposed dataset contains 91 objects with various shapes (each with 108 poses) from 49 object categories, and 52 173 3D hand grasps, which scale and richness are far more than existing dataset used to study human grasping behavior and human-centered grasp technology. In addition, the collected dataset was used for grasp saliency analysis and human-like grasping calculation, and the experimental results demonstrate the practical value of this dataset.

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Mixed concurrency control algorithm of composed service transaction based on conflict probability
huiqiong zeng
Journal of Computer Applications   
Abstract1712)      PDF (820KB)(1000)       Save
Because Web Services are relaxed coupled and independent to each other, two single services in a composed service can execute concurrently. In allusion to the characteristic, combining the advantages of optimistic and pessimistic concurrency controls, this paper presented a mixed concurrency control mechanism on occurrence probability of conflict, which can improve the degree of concurrency. Taking full account of concurrency control of instances which are form the same composed Web Services or different composed Web Services, the mechanism can ensure correctness and consistency when multi instances of composed web service execute concurrently.
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