Based on the Ant Colony Algorithm is a Distributed Intrusion Detection Method

Yiran Wang,Chunxia Wang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.4

This paper analyzes the present situation of the current network security problems and points out the research and development of intrusion detection system has very important significance on the basis of comparative analysis of the traditional static security model and PPDR dynamic security model, and according to this model, using ant colony algorithm is a distributed computing network intrusion of metrics, the determination of index contrast and invasion route, increase the accuracy of testing operation and calculation results show that the effectiveness of the solution and the convergence speed. For distributed network intrusion is put forward a new kind of means.

Design of Complex Network Distributed Computing Information Mining Method

Yiran Wang,Guang Zheng 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.5

The information that caused by the complex network is massive, but because of a large amount of information, so the use of traditional data analysis has been unable to meet the search and mining complex network data, so the distributed computing mode, i.e., cloud computing has become the main method of calculation method of complex network, according to the calculation of cloud computing, it needs to consider computing topological partition method and the computational performance. This paper presents a data mining model matrix, according to this model can integrate different information, optimization of data mining, so as to improve the efficiency of complex network distributed computing.

Research on Information Forecasting Based on Different Data Mining Techniques

Yiran Wang,Guang Zheng 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.10

This paper has been explored information data prediction implementation access based on data mining combination model. With data mining technology as the entry point and in combination with the analysis on information data prediction characteristics. Research on variable substitution to non-linear regression forecast model precision's influence, and seek the modeling method that can improve the forecast precision. Based on the Data mining, the transform in space and the weighted processing combined method, make full use of information that the primary data provide. Given modeling method of combination forecast model based on the Data mining. Based on Data mining’s combination forecast model’s modeling method can reduce the serious influence that the variable substitution brings and has fully used useful information in the primary data. It obviously improved the accuracy of the prediction model.

Steam reforming of monohydric alcohols and polyalcohols: Influence of single or multiple hydroxyl group(s) on nature of the coke

Yiran Wang,Chao Li,Shu Zhang,Leilei Xu,Xun Hu 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.110 No.-

Alcohols like ethanol and glycerol have been extensively investigated as potential feedstock for on-sitehydrogen production by steam reforming. The varied number of hydroxyl group in the alcohols inevitablyaffects the reaction intermediates generated and eventually properties of coke formed. In this study, fouralcohols (ethanol, ethylene glycol, 1-propanol and glycerol) with the single or multiple hydroxyl groupswere steam reformed, focusing on the influence of the hydroxyl group on the properties of the coke. Theresearch results showed that steam reforming of ethanol and glycerol produced more coke than that insteam reforming of 1-propanol or ethylene glycol, while the Ni/SBA-15 catalyst deactivated to a higherextent in steam reforming of ethylene glycol or glycerol with multiple hydroxyl group, due to the cokeof varied properties. The coke produced by steam reforming of ethanol and 1-propanol contained moredefective structures but more aromatic. However, the generated coke from the steam reforming of ethyleneglycol and glycerol had more aliphatic structures, especially in that from ethylene glycol. On theother hand, the carbon nanotubes formed by the steam reforming of ethanol or 1-propanol had thin wallthickness and smooth surface, while that in steam reforming of ethylene glycol and glycerol had thickwall and very rough surface, resulting from the distinct reaction intermediates formed.

A Survey of the Application of Blockchain in Multiple Fields of Financial Services

Yiran Wang,Dae-Kyoo Kim,정동원 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.4

The core value of finance is credit. It can be said that without credit, there can be no finance. The distributed structure of the blockchain and the lowcost trustbuilding mechanism based on mathematical algorithms provide a new solution and path for solving and optimizing related problems in the financial field. The blockchaintechnology is applied in the development of the financial industry through consensus mechanisms, smart contracts, and distributed networks. In this research, a comprehensive survey of the blockchain technology is proposed in the development of financial services including equity crowdfunding and credit investigations ininclusive finance, crossborder remittance, Internet financial payment, P2P lending, supply chains finance, and the application of blockchain in the field of antimoney laundering. This paper discusses the role of blockchain in solutions to different issues in the financial field. It also discusses the architectures in different financialservice application scenarios from the perspective of the financial trust mechanism and the perspective of the technology and rule change of blockchain participation in financial innovation. Finally, the problems and challenges of blockchain in financial services are discussed, and corresponding solutions are proposed.

Design and Application of Small Scale Cluster System Based on OpenFOAM

Yiran Wang,Wengang Zhou 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.2

In order to solve the simulation problem of steady compressible turbulent combustion, a small scale high performance parallel cluster system was designed. It based on the open source CFD platform OpenFOAM, and was used to to simulate the bluff-body stabilized Sydney flame hm1 which refers to the detailed chemical kinetic mechanisms of coal gas and air combustion reaction. The flow of combustion reaction component concentration distribution and temperature curve diagram are plotted according to the computational results. The comparison between the simulation and the experimental results shows that this parallel cluster system has efficient computation for steady compressible turbulent combustion flow.

Wireless Sensor Network 3-Dimensional Positioning Method

Yiran Wang,Yingchun Qi 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.5

In wireless sensor network, determine the position of the node position or events is very important to its surveillance activities, however, in the traditional wireless sensor network, are using two-dimensional spatial positioning technology, aiming at this problem, this article will wireless sensor network (WSN) 2 d algorithm is extended to 3 d space, analyzes the main factors affecting the positioning accuracy of wireless sensor network. In order to further improve the stability and precision of the algorithm, by introducing the Newton's method, gives the quasi-newton three-dimensional node localization hybrid localization algorithm. The simulation analysis shows that the proposed hybrid algorithm can under the same conditions with high positioning accuracy and stability, at the same time the CRLB are obtained. The simulation results show that the proposed algorithm can get g Latin American community, simulation analysis of the localization method is effective

Partial Discharge Detection Method Based on DD-DT CWT and Singular Value Decomposition

Wu Chao,Gao Yiran,Wang Ruoyan,Wang Kai,Liu Siyang,Nie Yongjie,Wang Ping 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.4

Partial discharge (PD) detection is signifi cant for insulation condition evaluation of electrical equipment. However, it often happens that the PD signals are submerged by interferences, which will cause the inaccurate detection results. In this paper, we propose a PD detection method based on double-density dual-tree complex wavelet transform (DD-DT CWT) and singular value decomposition (SVD) to solve this problem. The denoising method based on DD-DT CWT has better performance in both removing interferences and retaining features of PD signals. The inner product of the singular value matrix obtained by applying SVD to denoised high-frequency wavelet coeffi cient matrix can concisely represent the complexity of the tested signal, which can be used as a basis to judge the existence of the PD signal. Besides, Otsu algorithm is introduced to calculate the threshold to locate the appearance time of the PD signal. Experimental results show that the proposed method can detect the PD signal with the accuracy rate of 77.8% when PD signals are submerged by noises, while the traditional method cannot detect the existence of the PD signal. In addition, only the method proposed in this paper can detect the appearance time of the PD signal with the accuracy rate of 97.2%.

Effect of Salvia miltiorrhiza aerial parts on growth performance, nutrient digestibility, and digestive enzymes in rabbits

Wang Jiajia,Luo Yiran,Li Pei,Zhang Feike,Liu Ning 아세아·태평양축산학회 2021 Animal Bioscience Vol.34 No.12

Objective: This study aimed to investigate the effect of Salvia miltiorrhiza (S.m.) aerial parts as an alternative ingredient on growth performance, nutrient digestibility, and digestive enzymes in growing rabbits. Methods: Treatments included five tested diets: a control (basal diet), antibiotic (basal diet +enramycin at 5 mg/kg), and S.m. aerial parts powder added at 3.0%, 6.0%, and 9.0% of feed using 300 growing rabbits. Results: The diets with S.m. aerial parts addition at 9.0% decreased (p<0.05) feed/gain compared to the control, but there were no differences in feed intake and body weight gain. In contrast with the control, the addition of antibiotic increased (p<0.05) digestibility of dry matter, crude protein, energy, fiber, and ash. The herb addition did not cause differences in the digestibility of most nutrients compared to the antibiotic, but fiber digestibility of the herb at 6.0% and 9.0% was lower (p<0.05) than that of the antibiotic. Moreover, the antibiotic and the herb also similarly increased (p<0.05) the activities of duodenal α-amylase, maltase, lipase, and trypsin, compared to the control, and the herb at 6.0% and 9.0% showed a greater (p<0.05) activity of elastase than the dose 3.0%. Conclusion: The obtained data indicate that S.m. aerial parts can be a potential forage in rabbit’s diet at 9.0% with a beneficial regulation on nutrition and digestion. Objective: This study aimed to investigate the effect of Salvia miltiorrhiza (S.m.) aerial parts as an alternative ingredient on growth performance, nutrient digestibility, and digestive enzymes in growing rabbits.Methods: Treatments included five tested diets: a control (basal diet), antibiotic (basal diet +enramycin at 5 mg/kg), and S.m. aerial parts powder added at 3.0%, 6.0%, and 9.0% of feed using 300 growing rabbits.Results: The diets with S.m. aerial parts addition at 9.0% decreased (p<0.05) feed/gain compared to the control, but there were no differences in feed intake and body weight gain. In contrast with the control, the addition of antibiotic increased (p<0.05) digestibility of dry matter, crude protein, energy, fiber, and ash. The herb addition did not cause differences in the digestibility of most nutrients compared to the antibiotic, but fiber digestibility of the herb at 6.0% and 9.0% was lower (p<0.05) than that of the antibiotic. Moreover, the antibiotic and the herb also similarly increased (p<0.05) the activities of duodenal α-amylase, maltase, lipase, and trypsin, compared to the control, and the herb at 6.0% and 9.0% showed a greater (p<0.05) activity of elastase than the dose 3.0%.Conclusion: The obtained data indicate that S.m. aerial parts can be a potential forage in rabbit’s diet at 9.0% with a beneficial regulation on nutrition and digestion.

Arterial Spin Labelling-Based Blood-Brain Barrier Assessment and Its Applications

Yiran Li,Alishba Sadiq,Ze Wang 대한자기공명의과학회 2022 Investigative Magnetic Resonance Imaging Vol.26 No.4

The brain relies on the blood-brain barrier (BBB) for the selective absorption of nutrients and the exclusion of other big molecules from the circulating blood. Therefore, the integrity of BBB is critical to brain health, and assessing BBB condition is of great clinical importance. BBB is often examined using exogenous tracers that can travel across the BBB, but the tracers might cause severe side effects. To avoid the use of external tracers, researchers have used magnetically labeled arterial blood as the endogenous tracer to assess the water permeability of BBB as a surrogate index of BBB. This paper reviews the three major types of arterial spin labelling-based BBB water permeability assessment techniques and their applications in brain diseases such as Alzheimer’s disease.