【校庆学术活动月】人工智能与大数据系列学术报告会

发布时间:2018-10-09作者:访问量:222

报告题目1Using Companion Robots for Research and Education

报 告 人Patrick C. K. HungFaculty of Business and IT, University of Ontario Institute of Technology, Canada

报告时间20181013日(周六)下午14:30-15:15

报告地点:安徽大学(磬苑校区)理工D318会议室

报告摘要The concept of robots, or other autonomous constructions, can be found in many different cultures dating back to ancient times. A companion robot is defined as a device consisting of a physical robot component that connects to Cloud services to improve the ease and productivity of activities through networking, multi-media and sensory technologies. It is believed that robotic computing can provide a good experience to engage university and pre-university students in Science, Technology, Engineering, and Mathematics (STEM) education. Many studies found out that anthropomorphic designs of what robots are, what they can do, and how they should be understood resulted in greater user engagement within the history of Western countries. Humanoid robots usually behave like natural social interaction partners for human users, with features such as speech, gestures, and eye-gaze, in referring to the personal data and social background of the users. Cultural differences may influence human-robot interaction with different social norms and cultural traits, especially in West and East. In contrary to the Western image of robots as frightening machines, there is a different culture in the East. This talk discussesseveral researchand education studies on companion robots from this socio-technical perspective.

报告题目2Smart car 

报 告 人Shih-Chia HuangDepartment of Electronic Engineering at National Taipei University of Technology

报告时间20181013日(周六)下午15:15-16:00

报告地点:安徽大学(磬苑校区)理工D318会议室

报告摘要In contrast to a traditional mechanical car, the Smart Car is a highly computerized automobile featuring ubiquitous computing, intuitive human-computer interaction and an open application platform. In this talk, we propose an advanced Smart Car demonstration platform with a transparent windshield display and various motion sensors where drivers can manipulate a variety of car-appropriate applications in augmented reality. Similar to smartphones, drivers can customize their Smart Car through free downloads of car-appropriate applications according to their needs. Additionally, three potential car-appropriate applications related to computer vision are investigated and implemented in our platform for increased driving safety. The first and second carappropriate applications aim to enhance the driving visual field by restoring the low-visibility scenes captured during inclement-weather or nighttime driving conditions to be high-visibility ones, respectively, and display them on a transparent windshield display. We also survey pedestrian tracking techniques that combine multiple driving recorders' information as a mobile surveillance network, including one proposed framework we have developed as the third car-appropriate application. By embedding these carappropriate applications, the Smart Car has the potential to increase safety of driving conditions both in daytime and nighttime, even in bad weather.

报告题目3:基于混合模式的大数据处理沙箱技术研发

报 告 人:吕智慧副教授, 复旦大学

报告时间20181013日(周六)下午16:00-16:45

报告地点:安徽大学(磬苑校区)理工D318会议室

报告摘要:在大数据处理平台,面对多个用户不同数据大小、不同性能和代价要求的大数据交易和处理请求,系统需要适配各种应用特征,动态高效的完成多种计算沙箱(HadoopSparkStorm)的自动快速配置,形成每个用户的专用空间,在该相对隔离的空间内进行安全可信和高效的大数据分析处理。因此,大数据处理沙箱是在共享物理和虚拟计算/存储资源池云平台基础上,承载特定大数据处理分析任务的,与其它计算资源相对安全隔离的自完整的独立虚拟环境专用空间。本研究内容围绕支持构建大数据处理专有空间,通过动态软硬件环境自动配置及机器学习方法,在基于虚拟化技术构建的共享IT基础设施上建立起高效、可信、具有安全隔离机制的大数据处理沙箱,并支持虚机和容器资源混合模式,提供大数据处理软硬件专用环境供用户使用,保证处理顺利进行,并防止敏感信息从大数据处理沙箱泄露。

主办单位:安徽大学计算机科学与技术学院

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