Titlebook: Vehicular Ad-hoc Networks for Smart Cities; Third International Anis Laouiti,Amir Qayyum,Mohamad Naufal Mohamad Sa Conference proceedings

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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/v/image/980964.jpg

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A RINA-Based Security Architecture for Vehicular NetworksVANET) context. We especially show that it can address by design the security requirements in order to insure a secure Vehicular Ad hoc Network. Moreover, we detail how the ETSI security architecture designed for VANET can be naturally integrated in RINA.

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Conference proceedings 2020ties are well placed to profit from extraordinary mobile infrastructures. IWVSC‘2019 brings together experts from both academia and industry to discuss recent developments in vehicular networking technologies and their interaction with future smart cities in order to promote further research activities and challenges. ..? .

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978-981-15-3749-3Springer Nature Singapore Pte Ltd. 2020

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,Was sind die Gründe für das fehlende Wahrheitsbemühen?,el analysiert, die Text- und Praxisthese zu begründen. Die Analysen sollen zeigen, dass das fehlende Wahrheitsbemühen in den Interpretationstexten jeweils kein Einzelfall ist und fehlendes Wahrheitsbemühen Teil der Interpretationspraxis ist. Wenn sie das zeigen, stellt sich die Frage: Warum fehlt es

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Do News Articles Have an Impact on Trading? - Korean Market Studies with High Frequency Dataets with high frequency trading data. Especially, we focus on analyses of the relationship between news articles and financial markets. Furthermore, we also analyze differences in market reactions according to language (English or Korean) of news articles and present three case studies.

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Towards the Design and Development of Anticipation-Based Event Selection Modeling for Survival Horror Games,nsities using a brain-computer interface while playing a survival horror game. Our results provide insights as to how emotions transit during events. Based on these insights, we introduce the concept of an anticipation-based event selection modeling that aims to choose an event with maximum fear-inducing capability using anticipative emotion.

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