Calibration techniques played an essential role of improving the pose accuracy of the industrial robot before delivery. Due to the intense competition among the industrial robot market, numerous complicated calibratio...
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Trustworthiness measurement is the base and important supporting technology of Trusted Computing. The main objective of trustworthiness measurement is that, how to estimate the trustworthiness of different objects by ...
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The 3D Rounding Photography system is a application of Desktop Virtual Reality. It takes the pictures around the objects with the computer, and then deal with them for the 360 degree display in the local computer or a...
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Trajectory estimations of tracked mobile robots have been widely used to explore unknown environments and in military applications. In this paper, we estimate the precise trajectory of a tracked skid-steered mobile ro...
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Skew Correction is a processing-stage between LP Localization and Character Segmentation in License Plate Recognition system used to identify a vehicle by its number plate. License plate is skewed in captured image du...
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We propose a novel data mining framework using relaxed biclique for heterogeneous data. The framework is composed of three algorithms. First, an enumeration algorithm transforms heterogeneous databases into relaxed bi...
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ISBN:
(纸本)9780769548807
We propose a novel data mining framework using relaxed biclique for heterogeneous data. The framework is composed of three algorithms. First, an enumeration algorithm transforms heterogeneous databases into relaxed bicliques. Second, a tracking algorithm is used to find the biclique's variations over time. Finally, a ranking algorithm classifies relaxed bicliques into groups according to their statistical properties and dynamic behaviors. The framework is highly flexible and can be easily extended to applications in different domains. The framework is implemented in MapReduce and is proven to be scalable for processing large-scale data in a reasonable amount of time. In addition, the experiments show that the algorithms are both scalable and efficient. The proposed framework can also be applied to web network analysis and deliver rapid-response solutions.
With the computer technology boomingly developing and the Internet applications gradually spreading all over, the office network speeds up its pace to informationization, automation and networking. However, the comple...
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In this paper, we establish a time-varying fuzzy Markov model to estimate human intention for natural non-verbal human robot interface. Based on human posture information, we change the probability between states to i...
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Modern smart-phones are equipped with various interfaces such as NFC, allowing a versatile use of the device for many different applications. However, every transaction of the phone especially via its NFC interface ca...
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In this study we propose a novel method for semi-automated 3D quantification of subcutaneous and visceral adipose tissue from CTA data. The method differentiates between subcutaneous and visceral adipose tissue by usi...
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