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Compared with traditional current transformers (CTs), electronic current transformers (ECTs) are characterized by small volume, light weight, good isolation, good linearity, and easy digitization. Hence, ECTs are one of the primary devices for signal digitization for supervising intelligent substations. We design a coreless ECT using Hall sensors as well as its mechanism and circuit configuration...
Automatic cell tracking for time-lapse images becomes more and more important for live cell studies because the manual tracking is extremely time consuming. In this paper, we proposed a method for C.elegans cell tracking based on probabilistic relaxation labeling (PRL). The experiment results obtained in this research indicate that our method could track the C.elegans cells with a high accuracy at...
The ULTRA-WIDE BAND (UWB) signals transmit a large amount of information over a short distance with low power and the signals reflected by the inspected materials can be obtained without contacts of the materials. As a result, the reflected UWB signals offer us one potential contactless material identification or classification tool. In this paper, we study the UWB signals collected in a series of...
In order to apply successfully the fuzzy clustering algorithms like shadowed C-means (SCM) to image segmentation problems, the spatial information related with each pixel in the image should be carefully calculated and appended to the clustering algorithms. In this paper, the non-local spatial information calculation is introduced to SCM. Because the data in the kernel space demonstrate more linearly-separable...
This paper presents a multifunctional coreless current transformer based on the Hall effect (multifunctional HCT), and designs its actual electronic circuit that can discriminate load and fault currents to perform both metering and protective functions. The multifunctional HCT has two primary circuits: 1) distinguishes the load current from the fault current and 2) delivers the current value using...
A new shadowed c-means clustering based image segmentation method is proposed in this paper. By including the local spatial information in shadowed c-means algorithm and mapping the original data into a high dimensional space via kernel method, we propose the Kernel Spatial Shadowed C-Means (KSSCM) clustering algorithm for image segmentation problems. The KSSCM based approach shows better performance...
Recognizing breathing pattern is important in many fields of medicine. Ensemble empirical mode decomposition (an adaptive algorithm) was used to investigate breathing pattern, including thoracic breathing (TB) and abdominal breathing (AB). This study recognizes TB and AB by correlation coefficient and power proportion. Results indicate that the recognition accuracy of TB by correlation coefficient...
Image segmentation plays an important role in medical imaging for clinical purposes. In this paper, an image segmentation method using the ensemble of fuzzy clustering is proposed, in which we classify the pixels in an image according to heterogeneous clustering methods, and then combine the clustering results by a KL-Divergence based fuzzy clustering algorithm to provide the final image segmentation...
The core of future network security protection will be active defence, where security situation prediction plays an important part. In order to solve the problem of uncertainty conversion between qualitative concept and quantitative values in situational awareness, and to improve the degree of matching between data distribution and actual situation, this paper presents a posture prediction algorithm...
Finding road intersections in advance is crucial for navigation and path planning of moving autonomous vehicles, especially when there is no position or geographic auxiliary information available. In this paper, we investigate the use of a 3D point cloud based solution for intersection and road segment classification in front of an autonomous vehicle. It is based on the analysis of the features from...
Conical surfaces are commonly used in the industrial product design. In order to improve the machining accuracy of such parts, a conical tool posture control algorithm is proposed, which abandon disadvantages of traditional linear interpolation algorithm. A new definition of conical orientation spline is given and the procedure of establishment of the curve is explained in detail. Then a model of...
With the development of the distributed artificial intelligence system, multi-agent system (MAS) has been applied in construction of large-scale fault diagnosis systems. Procedure of construction of the knowledge base about fault diagnosis in conventional knowledge models cannot satisfy demands of a synchronism and concurrency of the system. To solve problems mentioned above, a new WFPN model and...
The critical spare parts (CSP) is essential to machine operation, which is also more expensive, have longer purchasing lead time and larger demand variation than non-critical spare parts. When the equipment is operating, critical spare parts required to be changed due to wear and tear. Excessive critical spare parts will cause accumulation of the inventory and insufficiency will cause termination...
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