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Semantic Annotation of Ontology by Using Rough Concept Lattice Isomorphic Model
Hongsheng Xu,Ruiling Zhang,Chunjie Lin,Wenli Gan 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.2
Semantic annotation is the process based on ontology annotation concept class, attribute and other metadata for cyber source and its various parts. Ontology mapping is to calculate the similarity between two ontology elements. Ontology merging is two or more source ontology merging into a goal Ontology. The basic principle of the concept lattice isomorphic generating is isomorphic to the background of the isomorphic concept lattice, and as concept lattice isomorphic background can generate the concept lattice. This paper analyzes the methods of ontology mapping and merging based on rough concept lattice isomorphic model and presents semantic annotation of ontology by using rough concept lattice isomorphic model. Experiments show that this method is better than the traditional method in semantic annotation accuracy and breadth.
Hongsheng Su,Yan Yan 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.8
Current probabilistic power flow calculation methods mostly consider the uncertainties of loads and the random failures of generators without thinking about the changing of the grids structure. Hence, this paper proposes a new probabilistic power flow calculation method comprehensively considering the influences of the uncertainties of wind farms, loads, generators, and grids structure on power flow calculation. The linear relationships are deduced between the nodes injection power and the branch active power as the circuits being at failures, and the cumulative probability distribution of each branches power flow is calculated by using semi-invariant and Gram-Charlier series expansion, and such that the complicated convolution operation is avoided. Combining compensation method and the conditional probability theory to deal with network structure changes of random factors, the paper establishes a probability flow calculation model comprehensively considering diverse factors such as random outputting power of the wind farms, random changes of the loads, and random failures of the generators, and the random variation of the grid structures and so on, the probability distribution function and probability density function of each branch can be quickly obtained by the model. Through the analysis on IEEE 14-node system, the uncertainty of grid structure has a remarkable effect on the probability distribution of the quantity to be solved. Hence, applying the proposed method can provide planners with more accurate and comprehensive information.
A Link Traffic Model by Incorporating both Merits of Vertical and Horizontal Queue Concept
HongSheng Qi,DianHai Wang,Peng Chen,YiMing Bie 대한토목학회 2013 KSCE JOURNAL OF CIVIL ENGINEERING Vol.17 No.5
With the development of traffic flow theory and practice, traffic models at different levels of analysis are expected to provide comprehensive outputs with satisfactory efficiency. Accordingly, this research proposes an Equivalent Link traffic State Model (ELSM) to meet this requirement. ELSM combines both advantages of Vertical Queue Model (VQ) and Horizontal Queue Model (HQ). On one hand, the structure of ELSM is similar to VQ; on the other hand, queue dynamics at any moment along the link can be available through deriving three “characteristic points” of each cycle based on shock wave theory. Thus spatial variation of vehicle queue can be obtained. As a result, common traffic performance indexes such as delay, stops and queue length can be directly obtained in addition to the microscopic level variables such as vehicle trajectories and travel time. It is shown that with the increasing of numerical resolution, the results of CTM (Cell Transmission Model) gradually converge to ELSM.
Hongsheng Cai,Yan Bai,Changhong Guo 한국유전학회 2018 Genes & Genomics Vol.40 No.8
Although much work has explored how microbes can benefit plant growth, the mechanisms underlying this intriguing process remain largely unknown, especially considering the diversity of bacteria that surrounds plants. The objective of the present study was to identify bacterial genes contributing to plant–microbe associations, beneficial effects, and host specificities. For this purpose, comparative genomics investigation of 151 plant-associated bacteria was performed. A principal component analysis of seven key genomic features revealed patterns in the specific properties of these bacteria: N2- fixing bacteria were more closely related to pathogenic ones than to beneficial bacteria. A common set of genes over-represented in these plant-associated bacteria were found to be remarkably similar in terms of (1) genetic information processing, (2) amino acid metabolism, (3) metabolism of cofactors and vitamins, (4) nucleotide metabolism, (5) human diseases, and (6) metabolism of terpenoids and polyketides. Although we did not detect a common genetic basis for these beneficial effects, further in-depth analysis revealed that each of five beneficial bacterial groups shared specific gene sets. Functional annotation showed that environmental information processing, genetic information processing and cellular processes predominated in these beneficial groups. Hypothesizing that plant-associated bacteria may have overlapping strategies to colonize their plant hosts, we successfully identified many putative genes that determine host specificities. Most of these genes were classified as transcription factors, enzymes, transporters, and chemotaxis regulators. Comparative genomics provides a powerful tool for helping to identify genes that are common among species. Genome-based views of plant-associated bacteria reveal specific interactions between bacteria and plant hosts.
Event-triggered Control for Switched Affine Linear Systems
Hongsheng Hu,Shipei Huang,Zhengjiang Zhang 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.11
Event-triggered control problem for switched affine linear systems with a state-dependent switching law is addressed in this paper. By constructing a piecewise differential Lyapunov function with time-scheduled matrices, an event-triggered scheme and a switching signal are proposed. The switching signal depends on the state of the trigger instant. A sufficient condition is developed to ensure that the switched affine system exponentially convergences to a small neighborhood of the desired equilibrium point. The proposed result is then generated to a disturbance attenuation performance analysis. The results are presented in the form of linear matrix inequalities (LMIs). Finally, two examples are provided to illustrate the effectiveness of the proposed results.