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Due to more aggressive design rules adopted by memories than logic circuits, memories have been considered as the major technology driver of advanced logic circuits, so far as CMOS process technology is concerned. Memory failure pattern identification therefore is important, and is traditionally considered a key task that can help improve the efficiency of memory diagnosis and failure analysis. Critical...
To achieve high quality of silicon ICs, system-level test (SLT) can be performed after regular final test. This is important for chips manufactured in advanced technologies, as systematic failures are getting harder to detect by conventional structural tests. However, due to long test time and extra human efforts, the cost for SLT is high. A possible way to replace SLT without quality loss is to identify...
In order to implement the remote sensing applied in land use research, we use a series of remote sensing image processing commercial software to extract land use/land cover information. The article are based on compare and analyze the ability of identify information of land use and land cover between two software (Erdas imagine 8.5 and ENVI4.1) which using the same classification method in a imagine...
This paper develop a method based on the reflected Backward Stochastic Differential Equations (BSDEs for short) to solve the pricing and the optimal conversion strategy of noncallable American Style convertible bonds. We characterize the value functions of the noncallable convertible bonds in terms of the reflected backward stochastic differential equation, and provide the optimal conversion strategy...
In the environment with objects moving randomly, the positions of moving objects can be modeled as a range of possible values, associated with a probability density function. Data mining of such positions of uncertain moving objects attracts more and more research interest recently. The definitions of probabilistic core object and probabilistic density-reachability are presented and a density-based...
Support vector machine (SVM) has been widely applied in the classification of remotely sensed image. How to reduce support vector number in SVM classifier so as to reduce classification time still an important open problem, especially in the case of mass data. To obtain fast classifier with high accuracy, an active learning schema is proposed in the SVM based image classification. Experimental results...
This paper proposed a novel method for selecting good views in 3D scene observation. A lot of existing methods for computing viewpoint quality are based on the number of visible faces and the projected area only, so they miss the visual identity of the scene. Our method combines the notion of mesh saliency and fuzzy nearness. First, we construct a fuzzy set for a viewpoint. The elements of the set...
In recent years, many clustering algorithms have been proposed. Among them, LEACH is the most famous one. However, in LEACH, within each 1/p rounds, once a node has been selected as a cluster-head (CH), its threshold will be set to 0, and thus it will lose the chance to participate cluster-head selection, even if it still has enough energy. In this paper, we present a novel cluster-head selection...
In many applications of wireless sensor networks, location is very important data. Location data can come from manual setting or GPS device. However, manual setting requires huge cost of human time, and GPS setting requires expensive device cost. Both approaches are not applicable to localization task of large scale wireless sensor networks. In this paper, we propose an accurate and efficient localization...
The image registration based on the features of the image is a major research direction.The points feature is used in traditional registration methods,but the lines and other basic features are ignored. So,an image auto registration method based on natural heterogeneous features is given out. First, the feature points are detected using Harris feature detector and the feature line segments are detected...
Continuous-time Delta-Sigma modulators are able to operate at higher frequencies than their discrete-time counterparts. However, they suffer more severely from non-idealities such as clock jitter. A method for measuring this clock jitter has been proposed. Moreover, the effect of the non-ideality are explained and a continuous-time to discrete-time conversion method is presented in order to aid in...
Mining the evolving trends of an online data stream and forecasting the data values in the future can provide important support for the decision-making in many time-sensitive applications. This paper models an online data stream as a continuous state transitions process by mapping the possibly infinite stream data into finite states, and uses state transition disGraph (STG) to maintain the track of...
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