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An innovative type of mobile manipulator, designated Manipulator on VTOL (Vertical Take-Off and Landing) Aircraft (MOVA), is proposed as a potential candidate for autonomous execution of field work in less-structured environments. A planar MOVA system design is presented as the first step toward a fully functioning 3D system. The design has the minimum number of joints for the end-effector to achieve...
In this paper, we propose a video representation that is motivated by the problem of categorizing large web video collections. The representation focuses on capturing the properties of the temporal structure of a video and deploys low-level image features derived from the self-similarity matrix of the video. The bias of the representation towards the temporal structure is based on our hypothesis that...
In order to meet the demand of agricultural materials exchange online for farmers, an agricultural materials exchange platform based on ontology is designed and implemented. A matchmaking algorithm is presented which uses semantic vector space model to determine the match between agricultural materials seekers and advertisers. A matchmaking model is proposed based on OWL. Finally an architecture based...
Oblivious transfer plays a fundamental role in the area of secure distributed computation. In particular, this primitive is used to search items in decentralized databases. Using a variant of smooth projective hash previously presented by Zeng <etal/>, we construct a practical framework for -out-of- oblivious transfer in the plain model without any set-up assumption. It can be implemented...
Resource Scheduling is a centerpiece of data centers. However, most previous works concentrate only on one-dimensional model, which ignoring the fact that multiple resources such as CPU, memory and network bandwidth are consumed simultaneously. As cloud computing allows uncoordinated and heterogeneous users to share a data center, competition for multiple resources has become increasingly severe....
Random testing, having been employed in both hardware and software for a long time, is well known for its simplicity and straightforwardness, in which each test is selected randomly regardless of the tests previously generated. However, traditionally, it seems to be inefficient for its random selection of test patterns. Therefore, a new concept of quasi-best distance random testing is proposed in...
To estimate intracranial pressure (ICP) noninvasively, a data mining framework was proposed in our previous work. In the procedure, the mapping function plays an important role to estimate ICP based on the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV), which is translated to the estimated errors by the mapping function for each entry in the database. In this paper,...
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