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We present an autonomous vehicle providing mobility-on-demand service in a crowded urban environment. The focus in developing the vehicle has been to attain autonomous driving with minimal sensing and low cost, off-the-shelf sensors to ensure the system's economic viability. The autonomous vehicle has successfully completed over 50 km handling numerous mobility requests during the course of multiple...
This paper describes an autonomous vehicle testbed that aims at providing the first- and last- mile transportation services. The vehicle mainly operates in a crowded urban environment whose features can be extracted a priori. To ensure that the system is economically feasible, we take a minimalistic approach and exploit prior knowledge of the environment and the availability of the existing infrastructure...
Based on the characteristic current on the stub series terminated logic (SSTL) topology, three design parameters, the effective power and ground inductance and the signal loop inductance, are proposed to evaluate on the performance of signal integrity (SI) and power integrity (PI) for the memory circuits. From these three parameters, a design flow systematically describes how to design the layout...
Embedded scan test compression is used to enable high test quality and has become a standard practice on many designs. This paper describes power and timing experiences related to embedded compression technology. A commercial tool was used to implement EDT compression technology in three wireless designs. The case study and results demonstrate the effect of power reduction methods and timing closure...
Clustering is the hot spot in the study of data mining. In this paper, refer to the distillation of "energy", data object and clustering can be described by energy. With the function of clustering optimized by energy, energy driven about the user's demands will be brought into effect in all data-space, and all data object, including the outlier, is planed as a whole at the unified cognition...
Quadratic sorting algorithms such as Selectionsort are valued for their simplicity, in-place property, and good performance on small input. On the other hand, a straightforward Mergesort is optimal, but has a linear space requirement. This paper explores the use of sorted granules built using Mergesort with bounded space requirement in order to increase the efficiency of an in-place stable quadratic...
Clustering is the hot spot in the study of data mining. In this paper, refer to the distillation of "collision", clustering changes can be described by energy and collision. The process optimized by energy and collision has the energy of userpsilas theme demands drive on the data space of initial clustering form. The energy makes data-objects continuously hit with each other. In the process...
The modeling methodology of power distribution system (PDS) in three different levels, chip, package, and PCB for Input/Output (I/O) interface of DDR3 high-speed memory is established. The simulation results are verified with measurement results in frequency domain. Good agreement between them is clearly seen. The co-simulation with three kinds of PDS at the I/O interface and off-chip driver (OCD)...
Granular computing is an emerging technology. This paper summarizes its applications to the Web. A high frequent co-occurring ordered set of keywords is called a keyword set;it represents some concept in the given document set. These concepts forms a simplicial complex of concepts,which is regarded as a knowledge base for a new search engine.The return of a query will be organized ino meaningful clusters...
Clustering is the hot spot in the study of data mining. This paper proposed a cluster reducing strategy based on so called "vibrating method". The "vibrating method" synthesizes the merits of the "distance based method" and the "density based method" of traditional clustering algorithm. It first finds out the "core" of each cluster and then "vibrating"...
Target tracking has two variants that are often studied independently with different approaches: target searching requires a robot to find a target initially not visible, and target following requires a robot to maintain visibility on a target initially visible. In this work, we use a partially observable Markov decision process (POMDP) to build a single model that unifies target searching and target...
Service level agreements (SLAs) are currently one of the major research topics in grid computing. Among many system components for supporting of SLA-aware grid jobs, the SLA mapping mechanism receives important positions. It is responsible for assigning sub-jobs of the workflow to grid resource in a way that meet the user's deadline and as cheap as possible. With the distinguished workload and resource...
In many useful video tracking situations, targets move through repeated mutual occlusions. As targets undergo occlusions, the feature subsets and combinations of those features that are effective in identifying the target and improving tracking performance may change. We use combinatorial fusion analysis to select and evaluate criteria by which to identify the combination of features that will produce...
Free-space dilation is an effective approach for narrow passage sampling, a well-recognized difficulty in probabilistic roadmap (PRM) planning. Key to this approach are methods for dilating the free space and for determining the amount of dilation needed. This paper presents a new method of dilation by shrinking the geometric models of robots and obstacles. Compared with existing work, the new method...
Target tracking among obstacles is an interesting class of motion planning problems that combine the usual motion constraints with robot sensors' visibility constraints. In this paper, we introduce the notion of vantage time and use it to formulate a risk function that evaluates the robot's advantage in maintaining the visibility constraint against the target. Local minimization of the risk function...
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