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      • KCI등재

        UKF Based Nonlinear Offset-free Model Predictive Control for Ship Dynamic Positioning under Stochastic Disturbances

        Fang Deng,Hua-Lin Yang,Long-Jin Wang,Wei-Min Yang 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.12

        This paper presents the schemes of nonlinear offset-free model predictive control (MPC) for reference tracking of ship dynamic positioning (DP) systems, in the presence of slow-varying stochastic disturbances and input constraints. Two offset-free MPC strategies for nonlinear DP systems are proposed. The first approach, namely, the target calculation formulation, estimates the disturbance based on the augmented disturbance model, and employs a target calculator to address the MPC optimization problem. The second approach, namely, the delta input formulation, works with the augmented velocity model to lump the effects of disturbances into the input estimates. By successively on-line linearizing the state-space model at the current operating point, the future outputs are explicitly predicted, and then the nonlinear optimization problem becomes an easy quadratic optimization problem. The unscented Kalman filter is adopted for the state estimation. By implementing simulations for two scenarios of disturbances with parametric plant-model mismatch, the effectiveness of the two strategies is demonstrated. Results show that the closed-loop control performance of the delta input formulation method is superior, for its good robustness to the stochastic disturbance.

      • KCI등재

        Adaptive Unscented Kalman Filter Based Estimation and Filtering for Dynamic Positioning with Model Uncertainties

        Fang Deng,Hua-Lin Yang,Long-Jin Wang 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.3

        A novel adaptive unscented Kalman filter (AUKF) is presented and applied to ship dynamic positioning(DP) system with model uncertainties of time-varying noise statistics, model mismatch and slow varying driftforces. The adaptive algorithm is proposed to simultaneously online adapt the process and measurement noisecovariance by adopting the main principle of covariance matching. The measurement noise covariance is adaptedbased on residual covariance matching method, and then the process noise covariance is adjusted by using adaptivescaling factor. Simulation comparisons among the proposed RQAUKF, the strong tracking UKF (RSTAUKF) andthe standard UKF show that the proposed RQAUKF can effectively improve the estimation accuracy and stability,and can assist the controller to obtain better control performance.

      • KCI등재

        Mesoporous CexZr1−xO2 solid solutions supported CuO nanocatalysts for toluene total oxidation

        Qing-Fang Deng,Tie-Zhen Ren,Bao Agula,Yuping Liu,Zhong-Yong Yuan 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5

        Mesoporous CexZr1 xO2 solid solutions were prepared by the surfactant-assisted method and used as support of CuO nanocatalysts for catalytic total oxidation of toluene. The prepared CuO/CexZr1 xO2 catalysts have a wormhole-like mesoporous structure with high surface area and uniform pore size distribution, and the CuO nanoparticles were highly dispersed on the surface of CexZr1 xO2. The doping of ZrO2 in CeO2 promotes the dispersion of active copper species and enhances the reducibility of copper species. The effect of Ce/Zr ratio, calcination temperature and CuO loading amount on the catalytic performance of CuO/CexZr1 xO2 was investigated in detail. The 400 ℃-calcined 8%CuO/Ce0.8Zr0.2O2 catalyst exhibits the highest activity with the complete toluene conversion temperature of 275 ℃ at the condition of GHSH = 33,000 h-1 and the toluene concentration of 4400 ppm. The interfacial interaction between CuO and the CexZr1 xO2 support, highly dispersed CuO nanoparticles and the nature of the support contribute to the high catalytic activity of mesoporous CuO/CexZr1 xO2 nanocatalysts.

      • The Research and Implementation of Temporal Quasi-order Data Index

        Xiuqin Deng,Hongyan Xing,Chengyan Fang,Xiaoping Ye 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1

        This study proposed a quasi-order-based temporal data structure (QOTDS) which differed from conventional, algebraic data management models. Based on this QOTDS, a temporal data index called the temporal quasi-order index (TQOindex) was established. Firstly, the study proposed the concepts of temporal quasi-order (TQO) and linear order partitioning (LOP) of time period sets and discussed the construction algorithm of LOP and the optimum (minimum) properties. On this basis, a temporal data structure was established based on LOP. This structure realized the set-at-a-time data operation-like relational data structure and improved the inquiry efficiency by using multiple threads. Subsequently, in the structural framework of TQO, we discussed the temporal data index (TQOindex) based on quasi-order extensions. This index was effectively applicable to various conventional database platforms depending on the disk (external memory)-based data management and also to big data dynamic index technology relying on the incremental updating mechanism. Finally, a corresponding experimental simulation and comparative evaluation were designed to verify the feasibility and effectiveness of TQOindex. Research and experiments showed that QOTDS were effective at temporal inquiry and management in cases involving the temporal processing and integration mechanisms in new data, such as semantic data, XML data, and moving object data.

      • A Hybrid Feature Gene Selection Method based on Fuzzy Neighborhood Rough Set with Information Entropy

        Tao Chen,Zenglin Hong,Fang-an Deng,Man Cui 보안공학연구지원센터(IJSIP) 2014 International Journal of Signal Processing, Image Vol.7 No.6

        DNA microarray technique can detect tens of thousands of genes activity in cells and has been widely used in clinical diagnosis. However, microarray data has the characteristics of high dimension and small samples, moreover many irrelevant and redundant genes also decrease performance of classification algorithm. Feature gene selection is an effective method to solve this problem. This paper proposes a hybrid feature gene selection method. Firstly, a lot of irrelevant genes from original data were eliminated by using reliefF algorithm, and the candidate feature genes subset is obtained; Secondly, Fuzzy neighborhood rough set with information entropy which deals directly with continuous data is proposed to reduce redundant genes among genes subset above. Here, differential evolution algorithm is used to optimize radius before reduction by using fuzzy neighborhood rough set, because radius of neighborhood greatly affects reduction performance. The simulation results on six microarray datasets indicate that our method can obtain higher classification accuracy by using as few genes as possible, especially feature genes selected are important for understanding microarray data and identifying the pathogenic genes. The results demonstrated that this method is effective and efficient for feature genes selection.

      • Analysis of Factors Influencing Communication Popularity Based on Short Video Information Sources: Audience Trust as a Mediated Research Review

        Xin Guo(Guo Xin ),Fang Deng(Deng Fang ) 동북아경상학회 2022 동북아경상연구 Vol.3 No.1

        Purpose – In the online environment, the group definition, marginal scope, and transmission methods of short video creators and audiences have all changed, but the centrality of the audiences’ essence will not change. Their thinking characteristics and behaviors ultimately determine the influence of digital products spread in the network. This paper attempts to explore the relationship between audience trust and communication mechanism from the source of information: the trust or suspicion generated by the creator’s identity type information, and explore its influence on the popularity of communication. Design/Methodology/Approach – We systematically reviews the connotation and extension of audience trust in online media, definition and characteristics of network identity, the disclosure of creator identity types, character setting, authentication and supervision of identity, and communication popularity. Findings – The interaction between short video media and audience includes: information dissemination, value judgment and emotional transmission. Audience trust plays a bridge and check position in the dissemination of short video media, which determines the survival and development of short video media. These contents can provide short video creators with basic information that can effectively affect user behavior, provide them with a basis for decisionmaking in the creation process, increase audience trust, and improve the popularity and effectiveness of media communication. Research Implications – It provides a new research perspective for influencing user identification, social recommendation and other fields.

      • KCI등재

        Synthesis and Antibacterial Activity of 1,3-Diallyltrisulfane Derivatives

        Fang-Kui Ren,Xiao-Yan He,Li Deng,Bo-Heng Li,Dong-Soo Shin,Zhu-Bo Li 대한화학회 2009 Bulletin of the Korean Chemical Society Vol.30 No.3

        A series of novel 1,3-diallyltrisulfane analogues were synthesized and assayed in vitro for antimicrobial activity against Gram positive, Gram negative bacteria and fungi. The antimicrobial activity of the 1,3-diallyltrisulfane derivatives showed, on the whole, very potent towards all the tested Gram positive, Gram negative and fungi (MIC ranging from 4 to 256 μg/mL). 1,3-Di(pent-4-enyl)trisulfane 3b and 1,3-bis(3-methylbut-2-enyl)trisulfane 3e exhibited the strongest antibacterial activity among all the compounds, and both of them were more active than 1,3-diallyltrisulfane (DATS). Results indicated the relationship of either carbon number or lipophilicity with antimicrobial activity presented “V” shape. These observations provided some predictions in order to further design 1,3-diallyltrisulfane derivatives with antimicrobial activity.

      • SCIESCOPUSKCI등재

        UNICITY OF MERMORPHIC FUNCTIONS CONCERNING SHARED FUNCTIONS WITH THEIR DIFFERENCE

        Deng, Bingmao,Fang, Mingliang,Liu, Dan Korean Mathematical Society 2019 대한수학회보 Vol.56 No.6

        In this paper, we investigate the uniqueness of meromorphic functions of finite order concerning sharing small functions and prove that if f(z) and ${\Delta}_cf(z)$ share a(z), b(z), ${\infty}$ CM, where a(z), b(z)(${\neq}{\infty}$) are two distinct small functions of f(z), then $f(z){\equiv}{\Delta}_cf(z)$. The result improves the results due to Li et al. ([9]), Cui et al. ([1]) and $L{\ddot{u}}$ et al. ([12]).

      • A Novel Social Context-Aware Data Forwarding Scheme in Mobile Social Networks

        Fang Xu,Huyin Zhang,Min Deng,Ning Xu,Zhiyong Wang,Zenggang Xiong,Conghuan Ye 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.6

        Routing in disconnected delay-tolerant mobile ad hoc networks (MANETs) continues to be a challenging issue. Several works have been done to address the routing issues using the social behaviors of each node. Mobile Social Networks (MSNs) are increasingly popular type of Delay Tolerant Networks (DTNs). The routing performance improves when knowledge regarding the expected topology and the social context information of the networks. In this paper, we introduce a new metric for data forwarding based on social context information, in which node’s social context information is used to calculate the encounter utility between a node and destination, and the social relationship of network nodes is used to calculate the betweenness centrality utility of a node. We combine two utility functions to derive the social strength among users and their importance. We also present social context-based data forwarding algorithm for routing decision. Extensive simulations on real traces show that the introduced algorithm is more efficient than the existing algorithms.

      • SCIESCOPUSKCI등재

        The Additivity of True or Apparent Phosphorus Digestibility Values in Some Feed Ingredients for Growing Pigs

        Fang, R.J.,Li, T.J.,Yin, F.G.,Yin, Y.L.,Kong, X.F.,Wang, K.N.,Yuan, Z.,Wu, G.Y.,He, J.H.,Deng, Z.Y.,Fan, M.Z. Asian Australasian Association of Animal Productio 2007 Animal Bioscience Vol.20 No.7

        Two experiments were conducted to determine the additivity of apparent or true digestibility of phosphorus (P) in soybean meal (SBM), peas, faba beans, corn, oats, broken rice meal, rough rice meal, buckwheat, and sorghum for growing pigs. Chromic oxide (0.3%) was used as a digestion marker in both experiments. Each experiment lasted for 12 d, which consisted of a 7-d dietary adaptation period followed by a 5-d fecal collection period. Experiment 1 involved 6 diets: the SBM-based control diet; 4 diets with corn, oats, rough rice meal and broken rice meal substituted for SBM; and an additional diet with a representative mixture of the 5 ingredients. In Experiment 2, 6 diets were prepared similarly, except that the tested ingredients besides SBM were faba beans, peas, buckwheat, and sorghum. In each experiment, six barrows with an initial average individual BW of 20.5 kg were fed one of the six diets according to a $6{\times}6$ Latin square design. The apparent and true P digestibility values for the nine tested ingredients were determined by the substitution method. There were no differences (p>0.05) between the determined and the predicted true P digestibility values for the mixture of ingredients in Experiments 1 and 2. However, the determined and the predicted apparent P digestibility values for the mixture of ingredients differed (p = 0.059) in Experiment 1, but not in Experiment 2. These results indicate that true P digestibility values are additive in ingredients containing low levels of phytate phosphorus and anti-nutritional factors, whereas the apparent P digestibility values are not always additive in single feed ingredients for growing pigs.

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