Several factors, including advances in computational algorithms, the availability of high-performance computing hardware, and the assembly of large community-based databases, have led to the extensive application of Artificial Intelligence (AI) in the biomedical domain for nearly 20 years. AI algorithms have attained expert-level performance in cancer research. However, only a few AI-based applications have been approved for use in the real world. Whether AI will eventually be capable of replacing medical experts has been a hot topic. In this article, we first summarize the cancer research status using AI in the past two decades, including the consensus on the procedure of AI based on an ideal paradigm and current efforts of the expertise and domain knowledge. Next, the available data of AI process in the biomedical domain are surveyed. Then, we review the methods and applications of AI in cancer clinical research categorized by the data types including radiographic imaging, cancer genome, medical records, drug information and biomedical literatures. At last, we discuss challenges in moving AI from theoretical research to real-world cancer research applications and the perspectives toward the future realization of AI participating cancer treatment.

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The research contents of the VANET simulating involve in computer, traffic engineering, statistics, psychology, etc., presenting a multidisciplinary tendency. Started from the researching significance and contents of the VANET simulation, this paper introduced the development history and research status of VANET simulation, classified the VANET simulators, introduced and compared typical VANET simulators.

Abstract. Analyzing the characteristics of the MVC pattern, as well as traditional HTML FORM based on the performance of the advantages and disadvantages, using the Struts technology and object-oriented programming ideas to complete the system design and implementation. The use of the thinking of engineering and object-oriented, provided the guidance for the success of software and rapid development.