Jing Wang

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The discovery of interesting regions in spatial datasets is an important data mining task. In particular, we are interested in identifying disjoint, contiguous regions that are unusual with respect to the distribution of a given class; i.e. a region that contains an unusually low or high number of instances of a particular class. This paper centers on the(More)
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One of the special challenges for spatial data mining is that information is usually not uniformly distributed in spatial datasets. Consequently, the discovery of regional knowledge is of fundamental importance for spatial data mining. This paper(More)
S The electrostatics of nanowire transistors are studied by solving the Poisson equation self-consistently with the equilibrium carrier statistics of the nanowire. For a one-dimensional, intrinsic nanowire channel, charge transfer from the metal contacts is important. We examine how the charge transfer depends on the insulator and the metal/semiconductor(More)
Two very linear ramp-generator designs are presented. The circuits are to be used in high-resolution ADC built-in-self-test (BIST) and on-chip calibration. The first design is to charge a capacitor by a small current, which is linear enough to test 14-bit ADCs. The second design is in a relaxation oscillator architecture. It is linear enough to test up to(More)
—This paper examines the validity of the widely used parabolic effective-mass approximation for computing the current–voltage (–) characteristics of silicon nanowire transistors (SNWTs). The energy dispersion relations for unrelaxed Si nanowires are first computed by using an 3 5 tight-binding (TB) model. A seminumerical ballistic field-effect transistor(More)
A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamental importance. Unfortunately, regional patterns frequently fail to be discovered due to insuf- ficient global confidence and/or support in traditional association rule mining.(More)
— Model reduction problem was investigated for singular systems. To solve the problem, the Silverman-Ho algorithm was given, and based on this algorithm, an optimal model reduction method for the fast subsystem was presented to obtain reduced-order stable models for singular systems. Sequentially, the H ∞ suboptimal model reduction algorithm was obtained(More)
request, provided it is not made publicly available until 12 months after publication. Abstract The motivation for regional association rule mining and scoping is driven by the facts that global statistics seldom provide useful insight and that most relationships in spatial datasets are geographically regional, rather than global. Furthermore, when using(More)
An OTA with a feedforward compensation scheme uses positive phase shifl of Left Half plane (LHP) zeros created by a feedforward path to cancel the negative phase shift of poles, thereby overcoming the limitations of traditional Miller compensation schemes. The OTA is used in the design of a fourth order switched capacitor bandpass XA modulator with the IF(More)