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á à Á À é è É È ç Ç ê
Ä Ö Ü ä ö ü ß
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ⅰ ⅱ ⅲ ⅳ ⅴ ⅵ ⅶ ⅷ ⅸ ⅹ Ⅰ Ⅱ Ⅲ Ⅳ Ⅴ Ⅵ Ⅶ Ⅷ Ⅸ Ⅹ
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      저자 : Hiep Xuan Huynh (검색결과 2 건)
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      • KCI등재

        A Simulation Combination Approach between GAMA and DIGIPLANT for Rice Plant Growth Visualization under Brown Planthopper Infestation

        Hiep Xuan Huynh,Man Ba Huynh,Hai Thanh Nguyen 대한전자공학회 2021 IEIE Transactions on Smart Processing & Computing Vol.10 No.4

        Rice plays an important role in the lives of the people of Vietnam and numerous Asian countries. It contributes not only a major food source, but also export value. Brown plant hoppers (BPHs) are one of the sources of harm in the production of rice and make it weaker and poorly developed. In this study, we present a method to transfer a data simulation from GAMA to DIGIPLANT. We simulated the development of rice plants in a case where they were attacked by BPH in DIGIPLANT software. The scope of this work is to study BPH transmitting yellow dwarf disease to the rice plants. The study has applied methods of modeling like agent-based modeling to the growth and propagation of BPH under the impact of various environments in GAMA. An agriculturist can use the output value from simulating and modeling the growth and propagation of a BPH to provide the levels of influence on the height of rice with yellow dwarf disease infection.

      • KCI등재

        A Novel Approach for Accessing Semantic Data by Translating RESTful/JSON Commands into SPARQL Messages

        Khiem Minh Nguyen,Hai Thanh Nguyen,Hiep Xuan Huynh 대한전자공학회 2016 IEIE Transactions on Smart Processing & Computing Vol.5 No.3

        Linked Data is a powerful technology for storing and publishing the structures of data. It is helpful for web applications because of its usefulness through semantic query data. However, using Linked Data is not easy for ordinary users who lack knowledge about the structure of data or the query syntax of Linked Data. For that problem, we propose a translator component that is used for translating RESTful/JSON request messages into SPARQL commands based on ontology – a metadata that describes the structure of data. Clients do not need to worry about the structure of stored data or SPARQL, a kind of query language used for querying linked data that not many people know, when they insert a new instance or query for all instances of any specific class with those complex structure data. In addition, the translator component has the search function that can find a set of data from multiple classes based on finding the shortest paths between the target classes - the original set that user provide, and target classes- the users want to get. This translator component will be applied for any dynamic ontological structure as well as automatically generate a SPARQL command based on users’ request message.

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