时间：2016年10月18日（周二）上午9：30-11:30
地点：12教703
报告人：Anton Kos, Anton Umek

报告1题目：Dataflow Computing and Applications

摘要：With the emergence of new data intensive technologies, and increasing amounts of data, new computing concepts are needed. The integration of big data producing technologies, such as wireless sensor networks, Internet of things, and cloud computing, is reducing the available time to find the appropriate solutions. A data flow computing concept is one possible solution for this problem. We discuss the possible shift in the computing paradigm and compare data flow and control flow programming models through their quantity and quality aspects. We take into account not only the execution time, but also the power and space, needed to complete the computing task. Recent research shows that data flow machines outperform control flow machines in many computationally intensive applications. To support the above claims, we present several implementations of various algorithms using the data flow paradigm, which show considerable speed-ups, power reductions and space savings over their implementation using the control flow paradigm.

报告人简介：Anton Kos分别于1999年和2006年在斯洛文尼亚卢布尔雅那大学电子工程学院获得硕士和博士学位，目前是卢布尔雅那大学电子工程学院的副教授，通信和技术部信息技术实验室成员。Anton Kos博士研究领域为通信网络与协议、大数据计算等，发表40余篇论文，SCI收录20余篇，出版合著1部，主持1项国家级课题，并参与由斯洛文尼亚研究机构重点资助的研究电信大数据方面的算法和优化策略项目。Kos博士担任了2个SCI期刊专刊的客座编辑，他还作为访问学者于2015年去塞尔维亚科学艺术学院访问和交流。由于在数据流计算领域的工作优秀，他成为斯洛文尼亚的Maxeler大使。

报告2题目：Biofeedback Systems and Applications in Sport

摘要：Science and technology are ever more frequently used in sports for achieving the competitive advantage. Motion tracking systems, in connection to the biomechanical feedback, help in accelerating motor learning. Requirements about various parameters important in real-time biofeedback applications are discussed. Special focus is given on feedback loop delays and its real-time operation. One field of research is dealing with the possible use of smart sport equipment.  Smart systems use sensing, processing, and actuating devices to perform adaptive and predictive actions to achieve a certain goal. The smart golf clubwillbe used in real-time biomechanical biofeedback system aimed to accelerate learning of a proper golf swing.  At the end we present our experience in designing the smart sport equipment for alpine skiing.

报告人简介：Anton Umek分别于1989年和1999年在斯洛文尼亚卢布尔雅那大学电子工程学院获得硕士学位和博士学位。Anton Umek目前是卢布尔雅那大学电气工程学院的高级讲师，通信和技术部信息技术实验室成员。Anton Umek博士研究领域为生物医学信号处理、数字通信等，发表30余篇论文，出版合著1部。Umek博士所在课题组在信号处理领域是斯方最著名的2个课题组之一，Umek博士是IEEE会员，并自2015年起任斯洛文尼亚IEEE ComSOC分委员会主席。