Research on Computer Network Virus Defense Technology in Cloud Technology Environmen

Zhao Sheng,Han HuiShan,Shi XueKui 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.3

With the rapid development of the Internet, the antivirus software of the network is always emerging and constantly changing. Traditional detection methods can’t effectively kill the new viruses and malicious software, the complexity of which also makes itself easy to be attacked by malicious software. The emergence of cloud computing has changed the status quo. Therefore, the architecture model of virus malware detection based on cloud computing is proposed in this paper. Based on the combination of the method for detecting malicious software virus based on cloud computing and the algorithm analysis theory in machine learning, a new type of distributed CFO algorithm is proposed, and the closed environment of cloud computing virtual machine nodes is used to realize dynamic behavior monitoring to the virus malware, then the distributed fluctuations PIF algorithm is used to describe the process of dynamic analysis and analysis reporting, besides, the wave algorithm is carried out corresponding improvement based on the analysis of the environment. Experimental results show that the model can detect the conditional trigger behavior of virus malware, so as to find the conditions for triggering malicious behavior and the input data that satisfy these conditions and the performance of this monitoring system is greatly improved compared with the common single machine system.

Children’s Football Action Recognition based on LSTM and a V-DBN

Zhaosheng Chen,Na Chen 대한전자공학회 2023 IEIE Transactions on Smart Processing & Computing Vol.12 No.4

In order to improve teaching children how to play football, combining the Vector of Locally Aggregated Descriptors (VLAD) model and a deep belief network (DBN) into a V-DBN is proposed based on 3D bone recognition that recognizes football actions. We use the contrast method to reduce the dimensionality of action features, and we complete the action recognition through analysis of key parameters. After experimental testing with the MSRAction3D data set, Grassmann manifold and graph-based action classification and recognition reach accuracies of 79.2% and 93.4%, respectively, after 100 iterations of training, but the V-DBN reaches 98.6%. In the UTKinect-Action database test, the average recognition rates of Grassmann manifold and graph-based action classification and recognition are 88.38% and 91.31% accurate, respectively, while the VLAD is 93.96% accurate, showing the best overall performance. However, the effect in single-action recognition is only average. Using the LSTM optimization model on results from infant football action recognition, the average accuracy rate of LSTM+V-DBN is 0.981 compared to the V-DBN at 0.892. Clearly, the optimized LSTM+V-DBN model performs better in toddler action recognition. This research provides important reference value to the application of human action recognition technology in children’s football education.

Experimental Study on Steel Plate Shear Walls with Partially Encased Composite Columns Composed of Thin Steel Plate

Zhanzhong Yin,Zhaosheng Huang,Hui Zhang 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.3

The steel plate shear wall structure has excellent seismic performance, mainly consists of embedded steel plate, horizontal boundary elements (HBEs) and vertical boundary elements (VBEs). Under the action of additional bending moment, the VBEs of SPSW often produce the failure mode of “hourglass specimen”. As a solution, the SPSWs proposed in this paper adopts PEC columns, which are composed of concrete filled between flanges of thin-wall channel steel, and transverse steel bars welded between flanges to prevent it from buckling. A slow cyclic test was conducted on two specimens of 1/3-scaled prefabricated SPSWs with thin steel plate composite section PEC column. According to the validated finite element method, the parameters including the height-thickness ratio of filled steel plate, concrete strength grade, bolt spacing and axial compression ratio were also studied. The results show that the new structure has high bearing capacity and good ductility. In addition, the PEC column has enough stiffness to form a good anchoring effect for the inner steel plate. The inner steel plate fully yields after buckling and provides bearing capacity and energy consumption through the action of tension field. The peak load of specimens with concrete has a higher level approximately 18% than the no-concrete specimen. The height-thickness ratio has a great impact on the post buckling performance of SPSWs. With the increase of height-thickness ratio, the ultimate bearing capacity of the structure will increase by 10% − 30%. Moreover, to give full play to the outstanding performance of prefabricated SPSW with PEC column, the value range of bolt spacing is suggested to be in the range of 120 mm − 60 mm.

A Bi-Target Based Mobile Relay Selection Algorithm for MCNs

( Huijun Dai ),( Xiaolin Gui ),( Zhaosheng Dai ),( Dewang Ren ),( Yingjie Gu ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.11

Multi-hop cellular networks (MCNs) reduce the transmit power and improve the system performance. Recently, several research studies have been conducted on MCNs. The mobile relay selection scheme is a rising issue in the design of MCNs that achieves these advantages. The conventional opportunistic relaying (OR) is performed on the single factor for maximum signal-to-interference-plus-noise ratio (SINR). In this paper, a comprehensive OR scheme based on Bi-Target is proposed to improve the system throughput and reduce the relay handover by constraining the amount of required bandwidth and SINR. Moreover, the proposed algorithm captures the variability and the mobility that makes it more suitable for dynamic real scenarios. Numerical and simulation results show the superiority of the proposed algorithm in both enhancing the overall performance and reducing the handover.

Spatial Representation of Soil Properties in Earth System Models

Umakant Mishra,Julie Jastrow,Zhaosheng Fan,William Riley,Beth Drewniak,John Krummel 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Particle trajectory and orientation evolution of ellipsoidal particles in bounded shear flow of Giesekus fluids

Bingrui Liu,Jianzhong Lin,Xiaoke Ku,Zhaosheng Yu 한국유변학회 2021 Korea-Australia rheology journal Vol.33 No.4

The migration of ellipsoidal particles in bounded shear flow of Giesekus fluids is studied numerically using the direct forcing/fictitious domain method for the Weissenberg number ranging from 0.1 to 3.0, the mobility parameter α which quantifies the shear-thinning effect ranging from 0.1 to 0.7. The model and numerical method are validated by comparing the present results with available theoretical and numerical results in other literatures. The results show that the trajectory of particles depends on their initial orientation and vertical position, and the particle migration can be roughly classified into returning and passing pattern. The values of initial vertical position of particle corresponding to the separatrix between the returning and passing pattern decrease with increasing Weissenberg number regardless of the initial orientation of particle, and the shear thinning has the opposite effect. The evolution of particle orientation depends on the initial particle orientation. For the particles whose initial orientation is parallel to the shear plane, the particle rotates with the semi-major axis as radius in the shear plane. For the particles whose initial orientation is perpendicular to the shear plane, the particle rotates with the semi-minor axis as radius. For the particles whose initial orientation has a certain angle with the shear plane, the particle rotates with the vorticity axis and the orientation vector is gradually close to the vorticity vector. The evolution of the particle orientation becomes slow with increasing Wi whether it is in passing behavior or in returning behavior.

Amorphous Materials : THE FORMATION ABILITY AND THERMAL PROPERTIES OF Cu - P BASED AMORPHOUS ALLOYS

Zhang Bangwei,Shu Xiaolin,Tan Zhaosheng,Zhang Heng 대한금속재료학회 ( 구 대한금속학회 ) 1995 Advanced Material and Processing Vol.2 No.-