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Shuangqing Sun,Yan Wang,Congtai Yuan,Hongbing Wang,Wendong Wang,Jianhui Luo,Chunling Li,Songqing Hu 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.82 No.-
Experiment and molecular dynamics simulation were carried out to study the tunable stability of oilcontainingSDS-stabilized Nitrogen-in-water foam. The experimental results show that the foam stabilitycould be tuned by the concentrations of SDS and modified SiO2 nanoparticles. In the foam systems with alow SDS concentration (0.2 wt.%), the foams show poor stability and the foam stability was almost notaffected by the addition of modified SiO2 nanoparticles. The foam stability was greatly improved atmoderate SDS concentration (0.5 wt.%), it enhancedfirst and then weakened with the increase ofmodified SiO2 concentration, and the half-life time achieved a maximum value of 1292 s at 0.05 wt.%modified SiO2. However, at high SDS concentration (0.8 wt.%), the foam stability was pretty good exceptfor when the modified SiO2 concentration is too high (>0.2 wt.%). The microscopic mechanism wasobtained by investigating the structural and dynamic properties of the foamfilm. The simulation workshowed consistent results of foam stability with the experimental results. Moreover, it also revealed thatthe concentration and configuration of SDS will affect its interaction with SiO2 and oil molecule, which iscritical to foam stability.
Wendong Yang,Yiwei Li,Ling Wang,Kaicheng Zhang,Zhicheng Gong 한국지질과학협의회 2023 Geosciences Journal Vol.27 No.6
Most of the rock mass in nature contains a large number of joints, faults and other defects, which make the rock mass have the characteristics of discontinuity and anisotropy, and easily lead to instability and failure of rock engineering. A great quantity of engineering practices show that the bolt has a significant supporting effect on jointed rock mass. Therefore, it is of great significance to study the deformation and failure characteristics of jointed rock mass and the crack arrest effect of bolt for the safety and stability of engineering. A reasonable numerical model of bolted rock samples with non-persistent joints is established by using a three-dimensional Particle Flow Code (PFC) based on the laboratory rock specimens, and the uniaxial compression numerical test is carried out. The results indicate that (1) the numerical simulation results are in good agreement with the laboratory test results, and the variation trend of strength is basically consistent; (2) the different joint angles and anchorage angles result in variations in the mechanical properties of bolted specimens with non-persistent joints; (3) the joint angle has a significant effect on the failure mode of the specimen; (4) the existence of bolts can effectively limit the initiation and propagation process of micro-cracks, and greatly improve the mechanical properties of the specimen containing non-persistent joints.
Rules Placement with Delay Guarantee in Combined SDN Forwarding Element
( Qinglei Qi ),( Wendong Wang ),( Xiangyang Gong ),( Xirong Que ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.6
Recent studies have shown that the flow table size of hardware SDN switch cannot match the number of concurrent flows. Combined SDN Forwarding Element (CFE), which comprises several software switches and a hardware switch, becomes an alternative approach to tackle this problem. Due to the limited capacity of software switch, the way to route concurrent flows in CFE can largely affect the maximum delay that a flow suffers at CFE. As delay-guarantee is a nontrivial task for network providers with the increasing number of delay-sensitive applications, we propose an analytical model of CFE to evaluate a rules placement solution first. Next, we formulate the problem of Rules Placement with delay guarantee in CFE (RPCFE), and present the genetic-based rules placement (GARP) algorithm to solve the RPCFE problem. Further, we validate the analytical model of CFE through simulations in NS-3 and compare the performance of GARP with three benchmark algorithms.
Gu Zheming,Wang Gengchao,Zhang Ling,Cheng Qilin,Li Xiaohui,Wang Wendong,Jin Shilei,Li Chunzhong 한국공업화학회 2010 Journal of Industrial and Engineering Chemistry Vol.16 No.1
Electrically conductive polypropylene/hybrid filler (PP/GO–MWNTs) and PP/MWNTs composite have been prepared via melt blending PP with the hybrid filler (multiwalled carbon nanotubes (MWNTs) and graphite oxide (GO)) and the single filler (MWNTs), respectively. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were used to research the interior morphology of the GO–MWNTs hybrid filler, and the dispersion of the hybrid filler in the PP matrix is also observed by SEM. The results show that a clear reduction in electrical resistivity and percolation threshold of PP/GO–MWNTs composite can be ascribed to the corporation of GO. The electrical properties of PP composites were improved owing to the effective conductive networks formed by hybrid filler.
Xiaopeng Niu,Zhiliang Wang,Wendong Xiao,Zhigeng Pan 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.11
Human activity recognition is a main research area of context-aware computing, and is widely used in many applications, such as smart home and elderly care. Smart phone-based human activity recognition is very popular by making use of the embedded inertial sensors. However, there exists the problems of misclassification activities, and how to effectively apply the model trained by known users to new users. To solve these two problems, in this paper, we proposed a novel approach, Uncertainty Sampling based posterior Probability Extreme Learning Machine (USP-ELM), by introducing two strategies: first, we transfer the actual outputs of ELM to posterior probabilities for each instances, and then use uncertainty sampling strategy for confidence level assignment to adapt the training model and improve the classification accuracy. Experimental results show that the proposed approach is more efficient, compared with the existing ELMs.
Using DFP Algorithm for Nodal Demand Estimation of Water Distribution Networks
Hui Zhang,Kai Wang,Xue Zhou,Wendong Wang 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.8
Nodal demand estimation of a Water Distribution Network (WDN) means calculating the estimated values of nodal demands withsome measured parameter values through mathematical methods. The most existing methods are based on an constrained weightedleast-squares model and repeated computation of Jacobian matrix for optimal solutions. In this paper a new nonlinear modelcombined with pseudo-measurements and pressure constraints was developed for solution uniqueness. Davidon-Fletcher-Powell(DFP) algorithm was proposed to search for the solution by one dimensional optimization and scale matrix calculation, which waseasier than Jacobian matrix computation. Two cases, including a real-life WDN of X city in northwest China, were used to show theperformance of the proposed algorithm. Encouraging results showed that the proposed method was effective and feasiblemacroscopically, and it had potential for practical applications of WDNs.
Wei Jiang,Shijie Li,Shiwei Hu,Jignfeng Wang,Wendong Song,Lili Ji,Yaning Wang 한국식품과학회 2015 Food Science and Biotechnology Vol.24 No.3
The effects of fucosylated chondroitin sulphate from sea cucumber (CHS) on inhibition of pancreatic islet apoptosis in high-fat high-sucrose diet (HFSD)-induced insulin resistant mice were studied for 19 weeks. CHS treatment significantly (p<0.05) decreased fasting blood glucose, insulin, and tumor necrosis factor (TNF)-α levels, and increased the serum adiponectin level, improved insulin resistance, and repaired HFSD-injured islets of langerhans, compared with controls. CHS supplementation significantly (p<0.05) inhibited pancreas cell apoptosis via reduction of cytochrome c, caspase 9, and caspase 3 mRNA expressions, cytochrome c release into the cytoplasm, and caspase 9 and cleaved-caspase 3 protein expressions, compared with controls. These effects were associated with upregulation of Bcl-2 and Bcl-xL mRNA and protein expressions, and downregulation of Bax and t-Bid mRNA and protein expressions. Combination treatments with CHS and rosiglitazone synergistically protected pancreatic islets. CHS improves insulin resistance and protects islets of langerhans from apoptosis via inactivation of the intrinsic mitochondrial pathway.
A Secure and Efficient Remote User Authentication Scheme for Multi-server Environments Using ECC
( Junsong Zhang ),( Jian Ma ),( Xiong Li ),( Wendong Wang ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.8
With the rapid growth of the communication technology, intelligent terminals (i.e. PDAs and smartphones) are widely used in many mobile applications. To provide secure communication in mobile environment, in recent years, many user authentication schemes have been proposed. However, most of these authentication schemes suffer from various attacks and cannot provide provable security. In this paper, we propose a novel remote user mutual authentication scheme for multi-server environments using elliptic curve cryptography (ECC). Unlike other ECC-based schemes, the proposed scheme uses ECC in combination with a secure hash function to protect the secure communication among the users, the servers and the registration center (RC). Through this method, the proposed scheme requires less ECC-based operations than the related schemes, and makes it possible to significantly reduce the computational cost. Security and performance analyses demonstrate that the proposed scheme can solve various types of security problems and can meet the requirements of computational complexity for low-power mobile devices.
Molecular dynamics study of H4TTP crystal morphology
Chen Jing,Li Jun,Li Yongxiang,Liu Qiao'e,Zhang Xuan,Ruan Jian,Wang Xiaojun,Liu Wendong,Kim Chan Kyung 대한화학회 2022 Bulletin of the Korean Chemical Society Vol.43 No.7
To understand the role of dimethyl sulfoxide (DMSO) on the crystal growth morphology of 2,3,5,6-tetra(1H-tetrazol-5-yl)pyrazine (H4TTP), the vacuum morphology of H4TTP crystal was predicted by the Bravais–Friedel–Donnay–Harker (BFDH) and the attachment energy (AE) models. The growth morphology of H4TTP in DMSO solvent was predicted using a modified AE model. The results show that the main growth surfaces of H4TTP in vacuum are (1 0 0), (0 0 2), (0 1 1), and (1 1 0) surfaces. Among them, (1 0 0) surface is the most important growth surface. (0 0 2) surface is the roughest crystal surface, while (1 1 0) surface is the flattest. (1 1 0) surface grows rapidly, and (1 0 0) surface has the greatest morphological importance. The analysis of radial distribution function shows that (1 0 0) surface has the strongest hydrogen bonding interactions in the interface between H4TTP and DMSO solvent.