The technical progress and the globalization accelerate rapidly the development of new disciplines and sub-disciplines. Consequently, new and specific terminology is necessary. In addition, the interdisciplinarity con...The technical progress and the globalization accelerate rapidly the development of new disciplines and sub-disciplines. Consequently, new and specific terminology is necessary. In addition, the interdisciplinarity contributes as well to the development of communication problems between non-professionals and experts of a special domain or between experts of different domains--as well at international level. Usually, technical terms are defined differently according to their domains. Therefore, a new terminological approach will avoid semantic vagueness as synonymy, antonymy, risk of confusion, hypernymy-hyponymy relations and polysemy, homonymy, etc.. For example, the terms ＂localization＂ and ＂positioning＂ are prototypes for this semantic vagueness. The objective of the iglos （＂intelligent glossary＂） terminology work of the Institute of Traffic Safety and Automation Engineering of the Technische Universigit Braunschweig is to clarify the multilingual and multidisciplinary misunderstanding between special languages of different domains by standardizing the definitions of technical terms. The focus of this paper lies on semantic problems of English navigation terminology in railway traffic domain and the clarification of the semantic vagueness between its terms with a modeling process and a linguistic method with different criteria. Finally, the result of these approaches should be a consistent navigation terminology in the railway domain.展开更多
Due to high node mobility, stability has been always one of the major concerns of vehicle clustering algorithms in vehicular ad hoc networks. In this paper, we propose a novel clustering algorithm based on the informa...Due to high node mobility, stability has been always one of the major concerns of vehicle clustering algorithms in vehicular ad hoc networks. In this paper, we propose a novel clustering algorithm based on the information of routes planned by vehicular navigation systems. In the clustering algorithm, we design a residual route time function to quantitatively calculate the overlapping time among vehicles based on route information, with which a novel clusterhead selection metric is presented. We further design a mechanism of future-clusterhead, which can help avoid message exchanges at intersections and reduce the overhead of cluster maintenance. The simulation results show that, compared with previous works, our clustering algorithm can achieve higher stability and at the same time lower communication cost.展开更多
文摘The technical progress and the globalization accelerate rapidly the development of new disciplines and sub-disciplines. Consequently, new and specific terminology is necessary. In addition, the interdisciplinarity contributes as well to the development of communication problems between non-professionals and experts of a special domain or between experts of different domains--as well at international level. Usually, technical terms are defined differently according to their domains. Therefore, a new terminological approach will avoid semantic vagueness as synonymy, antonymy, risk of confusion, hypernymy-hyponymy relations and polysemy, homonymy, etc.. For example, the terms ＂localization＂ and ＂positioning＂ are prototypes for this semantic vagueness. The objective of the iglos （＂intelligent glossary＂） terminology work of the Institute of Traffic Safety and Automation Engineering of the Technische Universigit Braunschweig is to clarify the multilingual and multidisciplinary misunderstanding between special languages of different domains by standardizing the definitions of technical terms. The focus of this paper lies on semantic problems of English navigation terminology in railway traffic domain and the clarification of the semantic vagueness between its terms with a modeling process and a linguistic method with different criteria. Finally, the result of these approaches should be a consistent navigation terminology in the railway domain.
基金partially supported by The National Key Research and Development Program of China(No.2016YFB0200404)National Natural Science Foundation of China(No.61501527,61379157,U1711263)+6 种基金MOE-CMCC Joint Research Fund of China(No.MCM20160104)State’s Key Project of Research and Development Plan(No.2016YFE01229003)the Fundamental Research Funds for the Central Universitiesthe Science,Technology and Innovation Commission of Shenzhen Municipality(JCYJ20160429170032960)Guangdong Science and Technology Project(No.2016B010126003)2016 Major Project of Collaborative Innovation in Guangzhou(No.201604046008)Program of Science and Technology of Guangdong(No.2015B010111001)
文摘Due to high node mobility, stability has been always one of the major concerns of vehicle clustering algorithms in vehicular ad hoc networks. In this paper, we propose a novel clustering algorithm based on the information of routes planned by vehicular navigation systems. In the clustering algorithm, we design a residual route time function to quantitatively calculate the overlapping time among vehicles based on route information, with which a novel clusterhead selection metric is presented. We further design a mechanism of future-clusterhead, which can help avoid message exchanges at intersections and reduce the overhead of cluster maintenance. The simulation results show that, compared with previous works, our clustering algorithm can achieve higher stability and at the same time lower communication cost.
