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Load Balancing Algorithm of Ultra-Dense Networks: a Stochastic Differential Game based Scheme
( Haitao Xu ),( Zhen He ),( Xianwei Zhou ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.7
Increasing traffic and bandwidth requirements bring challenges to the next generation wireless networks (5G). As one of the main technology in 5G networks, Ultra-Dense Network (UDN) can be used to improve network coverage. In this paper, a radio over fiber based model is proposed to solve the load balancing problem in ultra-dense network. Stochastic differential game is introduced for the load balancing algorithm, and optimal load allocated to each access point (RAP) are formulated as Nash Equilibrium. It is proved that the optimal load can be achieved and the stochastic differential game based scheme is applicable and acceptable. Numerical results are given to prove the effectiveness of the optimal algorithm.
Tao He,Haitao Mao,Chao Zhang,Yi Gu,Bin Yang 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.2
The migration and clogging of fine particles in the pores of coarse-grained soil with seepage is of great significance to reduce the leakage of soil at the dam base and lower the permeability of soil. Therefore, the homemade infiltration test device was used to test the infiltration and clogging of soil samples with different particle size ratios D15/d85 (D15 represents the particle size corresponding to the cumulative percentage content of soil particles smaller than a certain particle size in the coarse particles which is 15%, and d85 represents the particle size corresponding to the cumulative percentage content of soil particles smaller than a certain particle size in the fine particles group which is 85%). The factors affecting the deposition of fine particles in coarse-grained soil and the characteristics of fine particle migration and penetration were analyzed. The clogging of coarse-grained soil, hydraulic gradient and pore changes characteristics before and after clogging were studied. The results show that: 1) The main factor affecting the retention of fine particles in coarse-grained soil is the particle size ratio, and the retention rules conforms to the Peak-Gauss function relationship. The penetration law of fine particles satisfies the Logistic function relationship, which can directly predict the internal clogging of coarse-grained soil. 2) The particle size ratio is the main factor affecting the blockage in each mode, followed by the influence of the water head, When the particle size ratio is less than 13.10, the clogging ratio decreases with the increase of particle size ratio, and the hydraulic gradient increases with the increase of particle size ratio. When is greater than 13.10, the clogging ratio increases with the increase of particle size ratio, and the hydraulic gradient decreases with the increase of particle size ratio. 3) The degree of clogging in coarse-grained soil is closely related to the change in porosityand and can be judged according to the change of porosity in coarse-grained soil. The research results deepen the understanding of fine particle migration on the rules of coarse-grained soil clogging and can provide a theoretical basis for related engineering applications.
A Novel Network Anomaly Detection Method based on Data Balancing and Recursive Feature Addition
( Xinqian Liu ),( Jiadong Ren ),( Haitao He ),( Qian Wang ),( Shengting Sun ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.7
Network anomaly detection system plays an essential role in detecting network anomaly and ensuring network security. Anomaly detection system based machine learning has become an increasingly popular solution. However, due to the unbalance and high-dimension characteristics of network traffic, the existing methods unable to achieve the excellent performance of high accuracy and low false alarm rate. To address this problem, a new network anomaly detection method based on data balancing and recursive feature addition is proposed. Firstly, data balancing algorithm based on improved KNN outlier detection is designed to select part respective data on each category. Combination optimization about parameters of improved KNN outlier detection is implemented by genetic algorithm. Next, recursive feature addition algorithm based on correlation analysis is proposed to select effective features, in which a cross contingency test is utilized to analyze correlation and obtain a features subset with a strong correlation. Then, random forests model is as the classification model to detection anomaly. Finally, the proposed algorithm is evaluated on benchmark datasets KDD Cup 1999 and UNSW_NB15. The result illustrates the proposed strategies enhance accuracy and recall, and decrease the false alarm rate. Compared with other algorithms, this algorithm still achieves significant effects, especially recall in the small category.
Thermal balance performance simulation and optimization of full-ground crane cabins
Yongkang Shi,Zhenlei Chen,Haitao He,Fan Shi,Penyong Liu,Yong Wang 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.2
To solve the excessive thermal load problem of the crane engine and engine compartment, a combined 1-D and 3-D thermal simulation method is developed to numerically simulate the heat flow field inside and outside the engine compartment, the engine thermal system and the cooling system. Simultaneously, to ensure the accuracy of the numerical calculation boundary and the feasibility of the combined thermal simulation method, the trailer heat balance test is conducted under the rated conditions and the maximum torque conditions. By reasonably sealing the heat dissipation assembly at the front of the nacelle, bottom guards under the engine are added and other improvement measures are taken. It is found that the engine outlet’s coolant temperature is decreased by 15.9 °C under rated conditions when the improved crane is in the 36 °C environment. While the outlet’s coolant temperature is decreased by 20 °C under maximum torque conditions.
Dongbao Huang,Zhenlin Xu,Xiquan Jia,Haitao Yu,Yizhu He,Zhenqi Dong,Shenshen Li,Hui Zhang 대한금속·재료학회 2024 METALS AND MATERIALS International Vol.30 No.1
To solve the corrosion problem of the copper plates caused by fluoride ions, the Ni55 and CoCrNi medium-entropy alloycoatings were prepared via high-velocity oxygen fuel technology. The corrosion resistance of the Ni55 and CoCrNi coatingsin NaF solution was compared through electrochemical experiments and immersion corrosion experiments. The Ni55coating contained complex precipitated phases, resulting in preferential corrosion at the phase boundaries between the γ-Nisolid solution and the precipitated phases. The composition of the CoCrNi coating was more homogeneously distributed,and mainly uniform corrosion occurred. The corrosion products of the two coatings in the NaF solution were both complexescomposed of metal oxides and fluorides. Compared with the Ni55 coating, the passive film formed on the CoCrNi coatinghad a more uniform and protective property; therefore, the CoCrNi coating had better corrosion resistance. This researchcan pave a pathway for developing coating on copper and its alloys with excellent corrosion resistance.
Qinghua Wang,Wei Wang,Junlin Huang,Hong Yin,Yucan Zhu,Haitao Wang,Minjie Zhou,Binhong He,Zhaohui Hou,Wenyuan Xu 한국탄소학회 2023 Carbon Letters Vol.33 No.1
Transition-metal phosphides (TMPs), a promising anode material for lithium-ion batteries (LIBs), are limited in application because of its serious volume effect in the cycle. In this work, a simple electrospinning strategy was proposed to restrict the grain size of CoP nanocrystals by nano-confined effect of carbon nanofibers with ligands. The addition of ligands not only could realize the uniform dispersion of CoP nanocrystals, but also strengthen the bond between the metals and carbon nanofibers. As a result, the CoP/CNF composite exhibits excellent lithium storage performance, and its reversible specific capacity could reach 1016.4 mAh g? 1 after 200 cycles at a current density of 200 mA g? 1. The research is anticipated to provide a new idea for the preparation of anode materials for lithium ion batteries.