Liyang Liu

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Assistive Robotics(AR) is a rapidly expanding field, implementing advanced intelligent machines capable of working collaboratively with a range of human users; as assistants, tools and as companions. These AR devices can provide assistance to stretched carers when transferring non-ambulatory patients safely. This paper presents the preliminary outcomes of(More)
Speech enhancement is an important task in many applications such as speech recognition. Conventional methods always require some principles by which to distinguish speech and noise and the most successful enhancement requires strong models for both speech and noise. However, if the noise actually encountered differs significantly from the system's(More)
It is becoming increasingly achievable for steel bridge structures, which are normally both inaccessible and hazardous for humans, to be inspected and maintained by autonomous robots. Steel bridges have been traditionally constructed by securing plate members together with rivets. However, rivets present a challenge for robots both in terms of cleaning and(More)
Recent years has witnessed a rapid development of the wind power industry. It has become a concern for operators as to how to extract valuable information from the massive amount of historical data generated during operation of wind farm. A design plan of data mining software applied in wind farm is proposed in this paper. B/S mode and J2EE framework are(More)
Many manufacturers and researchers have established various Intrusion Detection System (IDS) evaluation standards, most of which involve tests of IDS functions but neglect evaluation of IDS security. On the basis of IDS security evaluation, this paper describes segmented and multi-level mixed evaluation methods, classifies intrusions by type of TCP/IP, and(More)
Wind power has been developed rapidly as a clean energy in recent years. The forecast error of wind power, however, makes it difficult to use wind power effectively. In some former statistical models, the forecast error was usually assumed to be a Gaussian distribution, which had proven to be unreliable after a statistical analysis. In this paper, a more(More)
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