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In commercial banks, data centers often integrates different data sources, which represent complex and independent business systems. Due to the inherent data variability and measurement or execution errors, there may exist some abnormal customer records (data). Existing automatic abnormal customer detection methods are outlier detection which focuses on the differences between customers, and it ignores...
This paper proposes an image-to-image face recognition algorithm that uses Dual Linear Regression based Classification (DLRC) and an Electoral College voting approach. Each face image involved is first converted into a cluster of images; each image in the cluster is obtained by shifting the original image a few pixels. The similarity of a pair of face images can be measured by comparing the distance...
In nondestructive testing of anchor bolt quality, it is important to identify the state of the anchor bolt accurately. In this paper, a combination method of spectral kurtosis and K-means clustering algorithm is proposed to identify different types of anchor models: maximum and nonzero minimum values are extracted as eigenvalues from spectral kurtosis distribution of anchor model signals which was...
Face detection has become a hot topic in the field of pattern recognition and computer vision. This paper proposed an improved spatial pattern clustering algorithm, each pixel in a color image will be taken as a pattern which implies not only its feature value but its spatial information. So, the clustering of all pixels of an image is converted to the clustering of the corresponding patterns. The...
There is advantage of fixed physical location for airfield lighting in airport lamp monitoring using WSN, but some lamps location is irregular, which caused large consumption of the cluster head nodes in this logic region, early death, the formation of voids during transmission, and these voids undermined the entire wireless sensor networks energy balance, reduced the WSN lifetime. To solve these...
In this paper, we propose a novel technique based on multiobjective genetic algorithms (MOGA) to solve the circuit clustering problem in field-programmable gate array (FPGA) computer aided design (CAD) flow. As the circuit clustering result is subsequently used by the circuit place-and-route process at the post-synthesis stage, the clustering quality significantly affects the routing cost and the...
This paper presents a novel routability-driven circuit clustering (packing) technique, DBPack, to improve function packing on FPGAs. We address a number of challenges when optimising packing of generic FPGA architectures, which are input bandwidth constraints (the number of unique cluster input signals is greater than the number of unique signals available from routing channel), density of packing...
The emerging cloud computing is developing into a new enable technology for service integration, making essential conditions for the appearance of public clouds, which integrate external services and provide services to third-party users. In contrary with traditional application integration, the service integrated in public clouds has to deal with a larger scale user accesses and monitor the execution...
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