Description: This paper discusses Question Answering (QA) combining multiple evidences. QA aims at identifying answers to users' natural language questions. A QA system can release the users from digesting large amounts of text in order to locate particular facts or numbers. The research has drawn great attention from several disciplines such as information retrieval, information extraction, natural language processing, and artificial intelligence. TREC QA track has provided comparable QA system evaluation on a set of test questions since 1999. The degree of difficulty of the test questions has increased substantially in recent two years, which push the research toward applying more sophisticated strategies and better understanding of English texts. This article discusses this research.

Description: This paper discusses secure embedded platforms for networked automotive systems. Modern automotive systems contain numerous electronic sensors and embedded processors. The embedded processors are used for tasks ranging from control and maneuvering, to navigation, and to communication among the vehicles. A vehicle-to-vehicle network or vehicular network, with its added functionality and communications requirements, further increases the complexity of the embedded system. The design of a safe, reliable, and secure embedded platform, suitable for networked automotive systems, is a challenge for our generation. The authors' focus in this position paper is on the security of the embedded system suitable for the networked automotive systems.