Papers by Author: Deng Yin Zhang

Abstract: In transform domain distributed video coding scheme, we found that there was a certain deviation between Laplacian statistical distribution and the distribution of small and large residual coefficients. To reduce this deviation, this paper proposes a hybrid distribution correlation noise model (HDCNM) based on K-Mediods, which models small coefficients as improved Laplacian distribution while modeling large ones as Cauchy distribution. The parameter estimation algorithm is also given. The experimental results show that the hybrid model proposed in this paper can describe the distribution of residual coefficients between WZ frame and side information accurately, so as to improve the distortion performance of transform domain distributed video coding effectively, and reduce the computational complexity of decoder.

Abstract: The existing distributed spectrum sensing algorithms usually assume that the information in interaction channel is totally correct and did not consider noise effect. To solve these problems, a new distributed cooperative spectrum sensing scheme based on average consensus is investigated in this paper. Based on minimum mean square deviation criterion, we design an iterative matrix suitable for consensus algorithm with considering the noise of interaction channel. Simulation results show that the proposed method achieves better detection performance under noise effect of interaction channel and outperforms conventional scheme by 11% at-5dB signal to noise ratio (SNR) and 0.1 false alarm probability.

Abstract: To meet the practical demands of mobile Ad Hoc network on quality of service, we proposed an improved wireless on-demand routing protocol on the basis of traditional AODV. We integrate multi-path routing into route discovery process and arrange data originated from source to be transmitted over several different paths concurrently, and defined the path level to evaluate the path’s transmission ability based on its available bandwidth. Numerical simulation results demonstrate the proposed routing protocol outperforms AODV in end-to-end delay, packet delivery rate and network lifetime.

Abstract: Due to lack of generalanalysis method in video digital steganalysis research area, a blind detection method which is based onfeature fusion aimed at the video steganography is proposed in this paper.Compared with special steganalysis method, the method has better detection rate,lower false alarm rate, and more extensive applicability.

Abstract: To further improve the performance of traditional dual-threshold cooperative spectrum sensing, the article proposed a dynamic-dual-threshold cooperative spectrum sensing algorithm based on D-S evidence theory (DDDS). The article is applied the D-S evidence theory in dual-threshold sensing algorithm and set threshold value depending on the channel gain. If the received signal is outside of dual-threshold, the cognitive user will send the judgment result to the base station; otherwise the cognitive user will calculate trust information based on D-S evidence theory, and then transmit them to the cognitive base station. Cognitive base station makes the final decision.

Abstract: For the current routing algorithm based on the geographic location information, the energy consumption is high and uneven. To address the problem, we propose an energy balance routing protocol (GEBR) based on the geographical location information, using a virtual sink technology to balance the node energy consumption within the scope of gateway communication. Simulation results show that compared with GEAR protocol, the GEBR protocol postponed the generation of energy hole, balanced energy consumption, effectively prolong the network lifetime.

Abstract: In modern network confrontation, it is very important to improve the viability of web malicious code. According to the generation and propagation characteristics, we propose the web malicious code hidden solutions which are based on deformation and encryption. Combining with MS09002 vulnerabilities we give an application example of web Trojan hidden. Test results show that the proposed integrated solution has the better capacity of avoiding virus killing and the stronger hidden performance. The significant improvement of viability of web malicious code is very important of application.

Abstract: Now widely used AODV routing protocol does not take into account the node’s load size and energy level. During the route discovery process, AODV routing protocol often has the blindness and makes it easy to bring about network congestion and consume some node’s energy excessively. To solve this problem, this paper presents a new LEC-AODV routing protocol based on load and energy classification, which makes a different response according to the node’s load size and energy level. Simulation results show that the protocol does not significantly increase the complexity of traditional AODV routing algorithm when packet delivery ratio, average end-to-end delay and network lifetime and other indicators have improved in varying degrees. At the same time it can bypass the nodes with heavy load and low energy, thereby achieve a certain degree of flow and energy balance and successfully solve the QoS problem in tactical MANETs.

Abstract: The existing edge detection algorithms with wavelet transform need to artificially set the threshold value and are lack of flexibility.To salve the limitations, in this paper, we propose a WT(wavelet transform)-based edge detection algorithm with adaptive threshold, which uses threshold value iteration method to achieve adaptive threshold setting. Comparison of experiment results for the CT image shows that the method which improve the clarity and continuity of the image edge can effectively distinguish edge and noise, and get more completely information of the edge. It has good application value in the fields of medical clinical diagnosis and image processing.