scholarly journals A Block Mean Insertion and Dual Stego Generation Based Embedding Strategy

2021 ◽  
Vol 09 (03) ◽  
pp. 70-87
Author(s):  
Md. Habibur Rahman ◽  
A. H. M. Kamal
Keyword(s):  
Embedding Strategy

scholarly journals The Applications and Complexity Analysis Based on Network Embedding Behaviors under Evolutionary Game Framework

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Xin Su ◽  
Hui Zhang ◽  
Shubing Guo
Keyword(s):  
Supply Chain ◽  
Repeated Games ◽  
Complexity Analysis ◽  
Evolutionary Game ◽  
Biological Evolution ◽  
Stable State ◽  
Network Embedding ◽  
Convergence Process ◽  
Investment Cost ◽  
Embedding Strategy

In this paper, we use the dynamic mechanism of biological evolution to simulate the enterprises’ bounded rational game. We construct game models of network embedding behaviors of horizontal and vertical enterprises in supply chain, explain the repeated games of random pairs of enterprises by replication dynamic differential equations, study the characteristics and evolution trend of this flow, conduct simulation experiments, clarify the evolution direction and law of network embedding strategy selection of supply chain enterprises, and discuss the stable state of evolutionary game and its dynamic convergence process. The results show that the probability of supply chain enterprises choosing a network embedding strategy is related to the enterprises’ special assets investment cost, cooperation cost, network income, and cooperation benefits. Supply chain enterprises should reduce the special assets investment cost and cooperation cost, maximize network income and cooperation income, narrow the gap between the extra-cooperation profit and the current cooperation profit, and restrain them from violating cooperation contracts or taking opportunistic actions.

Improving the Embedding Strategy for Batch Adaptive Steganography

2019 ◽  
pp. 248-260
Author(s):  
Xinzhi Yu ◽  
Kejiang Chen ◽  
Weiming Zhang ◽  
Yaofei Wang ◽  
Nenghai Yu
Keyword(s):  
Adaptive Steganography ◽  
Embedding Strategy

scholarly journals (Hyper)Graph Embedding and Classification via Simplicial Complexes

Algorithms ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 223 ◽  
Author(s):  
Alessio Martino ◽  
Alessandro Giuliani ◽  
Antonello Rizzi
Keyword(s):  
Algebraic Topology ◽  
3D Structure ◽  
Graph Embedding ◽  
Recognition System ◽  
Simplicial Complexes ◽  
Learning System ◽  
Graph Classification ◽  
Enzymatic Function ◽  
Benchmark Datasets ◽  
Embedding Strategy

This paper investigates a novel graph embedding procedure based on simplicial complexes. Inherited from algebraic topology, simplicial complexes are collections of increasing-order simplices (e.g., points, lines, triangles, tetrahedrons) which can be interpreted as possibly meaningful substructures (i.e., information granules) on the top of which an embedding space can be built by means of symbolic histograms. In the embedding space, any Euclidean pattern recognition system can be used, possibly equipped with feature selection capabilities in order to select the most informative symbols. The selected symbols can be analysed by field-experts in order to extract further knowledge about the process to be modelled by the learning system, hence the proposed modelling strategy can be considered as a grey-box. The proposed embedding has been tested on thirty benchmark datasets for graph classification and, further, we propose two real-world applications, namely predicting proteins’ enzymatic function and solubility propensity starting from their 3D structure in order to give an example of the knowledge discovery phase which can be carried out starting from the proposed embedding strategy.

USING ONLINE TIME WINDOW EMBEDDING STRATEGY IN GREEN NETWORK VIRTUALIZATION

2018 ◽  
pp. 413-418
Author(s):  
Tran Manh Nam ◽  
Nguyen Tien Manh ◽  
Truong Thu Huong ◽  
Nguyen Huu Thanh
Keyword(s):  
Time Window ◽  
Network Virtualization ◽  
Embedding Strategy

scholarly journals Frozen-Density Embedding Strategy for Multilevel Simulations of Electronic Structure

2015 ◽  
Vol 115 (12) ◽  
pp. 5891-5928 ◽  
Author(s):  
Tomasz A. Wesolowski ◽  
Sapana Shedge ◽  
Xiuwen Zhou
Keyword(s):  
Electronic Structure ◽  
Embedding Strategy

DWT-BASED VIDEO DATA HIDING ROBUST TO MPEG COMPRESSION AND FRAME LOSS

2005 ◽  
Vol 05 (01) ◽  
pp. 111-133 ◽  
Author(s):  
HONGMEI LIU ◽  
JIWU HUANG ◽  
YUN Q. SHI
Keyword(s):  
Data Hiding ◽  
Random Noise ◽  
Data Retrieval ◽  
Video Data ◽  
Experimental Results ◽  
Data Detection ◽  
Discrete Wavelet ◽  
Magnitude Distribution ◽  
Embedding Strategy ◽  
Error Probabilities

In this paper, we propose a blind video data-hiding algorithm in DWT (discrete wavelet transform) domain. It embeds multiple information bits into uncompressed video sequences. The major features of this algorithm are as follows. (1) Development of a novel embedding strategy in DWT domain. Different from the existing schemes based on DWT that have explicitly excluded the LL subband coefficients from data embedding, we embed data in the LL subband for better invisibility and robustness. The underlying idea comes from our qualitative and quantitative analysis of the DWT coefficients magnitude distribution over commonly used images. The experimental results confirm the superiority of the proposed embedding strategy. (2) To combat temporal attacks, which will destroy the synchronization of hidden data that is necessary in data retrieval, we develop an effective temporal synchronization technique. Compared with the sliding correlation proposed in the existing algorithms, our synchronization technique is more advanced. (3) We adopt a new 3D interleaving technique to combat bursts of errors, while reducing random error probabilities in data detection by exploiting ECC (error correcting coding). The detection error rate with 3D interleaving is much lower than that without 3D interleaving when frame loss rate is below 50%. (4) Take a carefully designed measure in bit embedding to guarantee the invisibility of information. In experiments, we can embed a string of 402 bytes (excluding the redundant bits associated with ECC) in 96 frames of the CIF format sequence. The experimental results have demonstrated that the embedded information bits are perceptually transparent when the frames in the sequence are viewed either as still images or played continuously. The hidden information is robust to manipulations, such as MPEG-2 compression, scaling, additive random noise, and frame loss.

scholarly journals The Embedded Strategy of Enterprise Innovation Network Based on Knowledge Base

2021 ◽  
Vol 96 ◽  
pp. 04005
Author(s):  
Chen Guang Li ◽  
Zhenjun Qiu ◽  
Guihuang Jiang
Keyword(s):  
Knowledge Base ◽  
Innovation Network ◽  
Depth Of Knowledge ◽  
Relational Embeddedness ◽  
Enterprise Innovation ◽  
Important Means ◽  
Embedding Strategy ◽  
The Relationship ◽  
Base Width ◽  
Different Levels

Constructing the innovation network is an important means of breakthrough in the traditional manufacturers for the emerging e-commerce platform, based on two different levels of innovation network node, content and structure, YEATION and YOUPIN were chosen to analyse and research the relationship and between knowledge base and the embedding strategy of electric business platform enterprises to create innovation network. To put forward the knowledge base width wider, insufficient depth of the enterprise should adopt structural strategy give priority to relational embeddedness, on the other hand, enterprises of which the depth of knowledge base is deep and width of insufficient shall adopt strategy give priority to the embedding of structure. At the same time, it is proposed that platform enterprises should not adopt a single embeddedness strategy, but should adopt auxiliary embeddedness strategy in a timely manner.

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