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Ontology learning has become a popular research field recently. However, the typical ontology may not be sufficient to represent uncertainty information. Fuzzy ontology is proposed to solve the uncertainty reasoning problems. But the construction of fuzzy ontology is still a tedious and painstaking task. The cognitive model of fuzzy ontology learning is an automatic model of fuzzy ontology construction...
We propose a novel method to increase sensing points of Brillouin optical correlation domain analysis (BOCDA) by utilizing degenerated four-wave-mixing (FWM) process. A sinusoidally frequency-modulated lightwave is used as the pump of FWM, and the generated idlers have a broadened frequency modulation span. The idlers produced by FWM are used in BOCDA system to increase the sensing points of BOCDA...
A level set method is proposed in this paper for target segmentation in high resolution synthetic aperture radar (SAR) images. The generalized gamma distribution (GΓ D) is a very flexible distribution which can model the diversity of a large range of scenes in high resolution SAR images. In the proposed target segmentation method, the energy functional is established based on the GΓD and the curve...
Inverted index is the core data structure in large scale information retrieval systems such as Web search engine. Index compression techniques are usually used to reduce the storage and transmission time from disk to memory. Many index compression schemes have been proposed and among them Binary Interpolative Coding (IPC) is one of the most widely used schemes due to its superior compression ratio(CR)...
Inductive Power Transfer has long been considered as an advanced traction power supply technology for Electric Rail Transits. Primary coils are often segmented to reduce resistive power loss. When switching between segments, the secondary pick-up voltage may be vulnerable to large fluctuations because of mutual inductance variation and poor timing of switching actions. In this paper, a method for...
DNA strand displacement is an emerging method in the field of biological computation in recent years. It is an enzyme-free technique, which does not require any other auxiliary materials in the process of the reaction. Strand displacement reaction performs computation based on the principle of complementary base pairing. We use strand displacement systems to generated large-scale reaction network,...
In recent years, the demand for memory performance has grown rapidly due to the increasing number of cores on a single CPU, along with the integration of graphics processing units and other accelerators. Caching has been a very effective way to relieve bandwidth demand and to reduce average memory latency. As shown by the cache feature table in Fig. 23.9.1, there is a big latency gap between SRAM...
We propose and experimentally demonstrate monitoring of fiber fuse by analyzing Doppler shift of reflected light using optical frequency-domain reflectometry (OFDR). We realized instantaneous fiber fuse detection and real-time measurement of its location and speed.
Although it is easier to acquire knowledge from structured or unstructured data with NLP (Nature Language Processing) and Machine Learning techniques, it is still difficult to exclude logic errors using reinforcement learning on ontology construction. Ontology reduction is a key step when a learner agent removes the knowledge from the existing ontology in the process ontology learning. This proposal...
K-means is a clustering algorithm which is used widely. Its clustering results heavily depend on the initial centroids. An adaptive method for disperse centroids is proposed to improve the stability and accuracy of the clustering result. The Adaptively Disperse Centroids K-means Algorithm (ADC-K-means) is implemented using MapReduce model on hadoop platform, and it is compared with the k-means of...
Area integral invariant (AII) is a functional obtained by performing integral operations on the closed planar contour of a shape via the convolution with disc kernels. This shape descriptor is insensitive to noise and robust with respect to occlusions. AII intrinsically introduces the notion of scale using the size of kernel radius. However how to select an optimal scale remains unresolved. In this...
In recent years, because of the interconnection of large grids and the accession of HVDC, real-time analysis approach is needed for transient voltage security (TVS) analysis. Traditional simulation analysis is time-consuming and the transient energy function approach is difficult to analyze large scale power systems. In this paper, an approach for real-time TVS analysis is proposed based on off-line...
Un-coordinated Electric Vehicle (EV) charging behaviors will impact the power grid and degrade power quality. Smart charging system can optimally allocate the energy among EVs and minimize the impact on grid. IEC 61850 is an international standard for distribution & substation automation and intelligence device communication in smart grid. This paper introduces the extension of IEC 61850 with...
Cascading trip faults in large-scale complicated power grid bring great challenges to the secure operation of power systems in Guangdong Province in China. To prevent power grids from cascading trips, enough dynamic reactive power reserve is crucial for secure operations. Thus an appropriate dynamic reactive power allocation is important to power grids. Due to the fact that secure operations for complicated...
AMT(automated manual transmission) launch control performance cannot be guaranteed when the clutch friction coefficient, vehicle mass and road slope angle vary to some large extent. In this paper, a linear quadratic output regulator with disturbance/modeling error observer is proposed to provide consistent optimal performance. The control law is derived as a linear feedback form of the system states...
The purpose of us was investigating the optimal fractional anisotropy (FA) value and apparent diffusion coefficient (ADC) value in the post-process of diffusion tensor tractography (DTT) of prostate. Twenty volunteers without diseases of prostate were included in our clinical trial. Conventional sequences and Diffusion Tensor Imaging (DTI) were scanned in GE Signa HDxt 3.0T Magnetic Resonance Imaging...
Calculation of 6R serial manipulator's inverse kinematics is a highly complex nonlinear mapping problem. As the process of 6R serial manipulator's inverse kinematics calculating concerned, these traditional algorithms, like inverse transformation, geometry, pieper solution, etc., are very complex, and they often involve in the problem of multiple solutions and singularity. So, the calculation efficiency...
Affine invariant point-set matching is an important issue in computer vision and pattern recognition. Using reference points derived from the convex hull of the point-set is an existing idea to solve this problem. However, how to choose proper and enough reference points for extracting affine invariant and powerful discriminative descriptors is an open problem. In this paper, a novel method termed...
Among the methods to knowledge discovery, rough set proposed by Pawlak is one of the most important theories. One key concept of rough set is reduction, which is proved to be NP-hard problem. In order to improve the effectiveness of reduction, a quick algorithm about information reduction and rule acquisition based on distributed computing is put forward. In this algorithm, an attribute-value-tree...
We demonstrate an optical time domain reflectometry based on linear optical sampling (LOS). Taking advantage of its ultrahigh bandwidth and low timing jitter, we obtained a spatial resolution of 620 µm at 100 m.
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