Abstract.To realize real-time information sharing in generic platforms, it is especially important to support dynamic message structure changes. For the case of IDL, it is necessary to rewrite applications to change data sample structures. In this paper, we propose a dynamic reconfiguration scheme of data sample structures for DDS. Instead of using IDL, which is the static data sample structure model of DDS, we use a self describing model using data sample schema, as a dynamic data sample structure model to support dynamic reconfiguration of data sample structures. We also propose a data propagation model to provide data persistency in distributed environments. We guarantee persistency by transferring data samples through relay nodes to the receiving nodes, which have not participated in the data distribution network at the data sample distribution time. The proposed schemes can be utilized to support data sample structure changes during operation time and to provide data persistency in various environments, such as real-time enterprise environments and connection-less internet environments.
This study classified the types of dining-out activities into three categories: visiting restaurants, using delivery services, and using take-out services to understand how customers’ various dining-out activities were carried out during the COVID-19 pandemic. The study used the Theory of Planed Behavior (TPB) model to analyze the structural relationship between the main factors and three dining-out activities. An online survey method was used to distribute and collect survey link addresses through respondents’ SNS and e-mail and a data analysis was performed on the final 429(85.8%) effective samples. A paired t-test and structural equation modeling (SEM) were used to investigate customers’ dining-out activities. This study is of significant contribution in that it compared and analyzed customers’ various dining-out activities using the TPB model, laid the theoretical foundation for related research, and suggested ways to help related industry workers establish marketing strategies under the pandemic.
Ontology is a description of the concepts and relationships that can exist for an agent or a community of agents. Ontologies are a key enabling technology for the Semantic Web. Previously, ontologies have been built manually by knowledge engineers using ontology editors. In this paper, we propose a semiautomatic ontology construction scheme for visual media data brokers and providers. We apply data mining techniques on sets of image data groups to determine general term relationships and utilize WordNet to determine semantic relationships between terms. Even though our research has been started for visual media data retrieval, the proposed scheme can be also applied to other problem domains.
The purpose of this study is to investigate development of the solar salt industry in Korea. To achieve the objective, the study defined the concept of advancement and competitiveness improvement regarding the solar salt industry, and identified a present situation and problems of the solar salt industry. The result showed that to develop the solar salt industry in Korea, production system should be modernized, and distribution system should be changed to get consumer' s trust, and it should be informed outstanding characteristics of Korean solar salt to consumers. Finally, the government and related corporation should push related system and policy such as traceability system to develop the solar salt industry in Korea.
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