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Ground observation is able to obtain highly accurate data with high temporal resolution at observation points, but these observation points are too sparsely to satisfy the application requirements at regional scale. Satellite remote sensing can frequently supply spatially continuous information on earth surface, which is impossible from ground-based investigations, but remote sensing description is...
The scale of modern networks grows exponentially, challenging our ability of efficiently managing large-scale network systems. Building an efficient monitoring system for such a large-scale network to report problems is difficult because of the scale of the network. Conventional approaches based on a fixed period polling strategy cannot fast adapt to the change of network and fail to discover abnormal...
Abnormal object detection and discrimisnation is a critical research area for vision-based surveillance systems. This paper proposes a novel algorithm for the detection and discrimination of abnormal objects, such as abandoned and stolen objects. The proposed algorithm consists of three stages and three different filters. The three stages cooperate with each other using the feedforward model to enhance...
For the drawbacks of application in general function optimization using Ant Colony Optimization (ACO), ant's move method and pheromone updating strategy is modified on ACO. And typical problems are used to demonstrate its validation. The results show that after modification, the convergence process is quicker and the approach is found to give accuracy. At the end of this paper, the parameters selection...
As intuitionistic trapezoidal fuzzy number can reveal the degree of an attribute satisfy or dissatisfy a trapezoidal fuzzy number rather than a certain fuzzy concept, it is interesting to introduce it to resolve multi-criteria decision making problems. This paper reviews some existed intuitionistic trapezoidal aggregation operators and presents a new arithmetic aggregation operator, i.e. induced intuitionistic...
In this paper, we introduce a new model order reduction tool, UiMOR - UC Riverside Model Order Reduction Tool. UiMOR fills the gap between parasitic extraction and post-layout simulation to improve the efficiency of VLSI circuit validation. UiMOR is a stand-alone circuit complexity reduction tool. It can perform accurate reduction for wideband frequency range with negligible loss of accuracy and is...
To cope with an increasing complexity when analyzing analog mismatch in sub-90nm designs, this paper presents a fast non-Monte-Carlo method to calculate mismatch in time domain. The local random mismatch is described by a noise source with an explicit dependence on geometric parameters, and is further expanded by stochastic orthogonal polynomials (SOPs). This forms a stochastic differential-algebra-equation...
Survey data provide rich source of knowledge. However, a survey database normally contains missing data. This paper proposes a rough set based unconventional knowledge discovery method to explore missing data. It presents an experiment on a student teaching evaluation database.
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Outlier deTector (SPOT), to deal with the problem of anomaly detection from high-dimensional data streams. We conduct a case study of SPOT in this paper by deploying it on 1999 KDD Intrusion Detection application. Innovative approaches for training...
The short time-interval and frequency measurement are main research projects in the measurement of time and frequency. Traditional measurement methods include direct counting, analog interpolating, time-to-voltage conversion, time vernier and time-to-digital conversion. However these methods are all complicated and the instruments based on these methods are expensive. A novel method for short time-interval...
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