With the extensive application of the knowledge base (KB), how to complete it is a hot topic on Semantic Web. However, many problems go with the big data, and the event matching is one of these problems, which is find...
With the extensive application of the knowledge base (KB), how to complete it is a hot topic on Semantic Web. However, many problems go with the big data, and the event matching is one of these problems, which is finding out the entities referring to the same things in the real world and also the key point in the extending process. To enrich the emergency knowledge base (E-SKB) we constructed before, we need to filter out the news from several web pages and find the same news to avoid data redundancy. In this paper, we proposed a hierarchy blocking method to reduce the times of comparisons and narrow down the scope by extracting the news properties as the blocking keys. The method transforms the event matching problem into a clustering problem. Experimental results show that the proposed method is superior to the existing text clustering algorithm with high precision and less comparison times.
This paper achieves the SAR geometric correction algorithm and makes improvements based on multi-core C6678 DSPs. To solve the insufficient real-time problem, this paper improves the geometric correction, and designs ...
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Green network uses sleep mechanism for energy-saving design, achieving sleep mechanism needs to consider that the mechanism may cause data loss, network performance degradation and other situations. In the traditional...
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Green network uses sleep mechanism for energy-saving design, achieving sleep mechanism needs to consider that the mechanism may cause data loss, network performance degradation and other situations. In the traditional network, sleep mechanism requires protocol and equipment support, it is complex and low economic benefit. Due to the use of hierarchical and centralized control, software-defined network(SDN) can easily achieve a variety of network applications. The paper realizes the smooth transition process of sleep mechanism of link based on SDN framework. The results show that the design ensures the performance and normal operation of the network while realizing dormancy.
When the ship sails in different water situation, it is necessary to forecast the movement state of the ship according to the real-time ship motion state parameters. The traditional method uses the classical MMG(mathe...
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When the ship sails in different water situation, it is necessary to forecast the movement state of the ship according to the real-time ship motion state parameters. The traditional method uses the classical MMG(mathematical model group) three-degree-of-freedom motion mathematical model to predict the modeling. For the existence of less detection parameters, the error is relatively large, the accuracy is not enough and so on. In this paper, a six-degree-of-freedom ship motion model based on sway, surge, heave, roll, pitch and yawing is proposed, combined with the least square method to achieve the automatic identification modeling method. Using this method, according to the GPS inertial navigation and positioning module to collect the data to simulate, and contrast with the traditional modeling method. The experimental results show that the improved automatic identification modeling method has better effect than the traditional modeling method, which greatly improves the accuracy of ship motion prediction.
This paper introduces a multi-parameter distributed measurement control system based on CAN bus network and uses C8051F040 MCU as measurement control node, and corresponding hardware and software design to realize sim...
This paper introduces a multi-parameter distributed measurement control system based on CAN bus network and uses C8051F040 MCU as measurement control node, and corresponding hardware and software design to realize simultaneous detection of multiple measurement nodes. This paper described the overall structure of the system, introduced the hardware design and system software design of the data acquisition and control processing module based on C8051F040 microcontroller, and verified the correctness and feasibility of the system design by experimental tests.
With the development of high-speed and real-time signal processing systems toward modularization, generalization and reconstruction, a method of modular design has been proposed and accepted widely. However, the incre...
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With the development of high-speed and real-time signal processing systems toward modularization, generalization and reconstruction, a method of modular design has been proposed and accepted widely. However, the increasing module types and extending production scale make the module-test challenged and the test results of modules are dispersed, which make it difficult for collection and post-maintenance. Moreover, it's difficult to perform traversal test with so many module-combinations, and this consumes excess equipments and human resources. In this paper, we proposed a concept of integrated testing, and designed a integrated testing platform(ITP) based on the Open VPX architecture. The ITP can achieve intelligent identification and resources detection of the under-test single/multiple modules after startup, and with the users' manual configurations, the ITP can then perform the traversal test automatically. Besides, the ITP provides functions such as real-time fault alarm and the test report printing. The ITP has been applied in mass testing for an Open VPX-based high-performance processing module, with multiple VLSI(Very Large Scale Integrated) circuits integrated, such as TI TMS320C6678, Xilinx Virtex-6,etc, and greatly increases its efficiency and accuracy.
For the 2D radar system, in order to improve the performance of target plots, a new algorithm based on geometric center and amplitudes of measurements was proposed, aimed at that the traditional plots centroid algorit...
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ISBN:
(纸本)9781509037117
For the 2D radar system, in order to improve the performance of target plots, a new algorithm based on geometric center and amplitudes of measurements was proposed, aimed at that the traditional plots centroid algorithm does not use the amplitude information or over-uses it. The proposed algorithm can reduce the weights of the measurements which are far away from the geometric centre, so as to obtain mere accurate range and azimuth estimations even under the circumstances of strong false measurements. Simulations show that the proposed method works better than the traditional methods.
The abundant entities and entity-attribute relations in medical websites are important data resources for medical ***,the medical websites are usually characterized of storing entity and attribute values in different ...
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The abundant entities and entity-attribute relations in medical websites are important data resources for medical ***,the medical websites are usually characterized of storing entity and attribute values in different *** extract those data records efficiently,we propose an automatic extraction system which is related to entity and attribute relations(attributes and values)of separate *** system includes following modules:(1)rich-information interactive annotation page rendering;(2)separate storage attribute relations annotating;(3)annotated relations for pattern generating and data records *** paper presents the relations about the attributes which are stored in many pages by effective annotation,then generates rules for data records *** experiments show that the system can not only complete attribute relations of separate storage extraction,but also be compatible with regular relation extraction,while maintaining high accuracy.
Synthetic Aperture Radar Differential Interferometry(DIn SAR) technique is an effective tool with large coverage and high spatial accuracy for subsidence monitoring. Nevertheless, the temporal resolution is usually po...
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Synthetic Aperture Radar Differential Interferometry(DIn SAR) technique is an effective tool with large coverage and high spatial accuracy for subsidence monitoring. Nevertheless, the temporal resolution is usually poor so that rapid deformation cannot be measured due to the long revisit time of radar *** SAR Differential Interferometry technique using Global Navigation Satellite System(GNSS) as illuminator has a shorter revisit time, whereas the measurement accuracy is constrained by low signal power, narrow bandwidth and atmospheric delay error. To cope with these problems, in this paper, we propose a novel subsidence monitoring technique based on Space-Surface bistatic Differential Interferometry(SS-DI) with GNSS transmitters, where two stations consist of a reference one and a measurement one that are deployed on the ground. First, we applied a space differential processing between two stations to cancel identical errors such as tropospheric and ionospheric errors etc. Then we used a long time coherent integration to improve the signal noise ratio. Subsequently, we also utilized a time differential processing to construct double differential equations with respect to unknown deformation variables. Finally, we solved the equations to obtain a highly accurate estimation of three dimension deformation. Furthermore, an SS-DI experiment using Beidou-2 as transmitters was carried out to validate the proposed method, where a high accuracy(0.01 mm) device was utilized to simulate subsidence deformation. The experimental results reveal that the proposed method has better performance of spatial measurement accuracy of 0.53 mm compared with differential GPS method.
Dear editor,Geosynchronous Synthetic Aperture Radar(GEO SAR)has significant potential when applied to hazard and disaster monitoring because of its short revisit time of approximately 24 h and its wide coverage of app...
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Dear editor,Geosynchronous Synthetic Aperture Radar(GEO SAR)has significant potential when applied to hazard and disaster monitoring because of its short revisit time of approximately 24 h and its wide coverage of approximately 1/3 of the Earth’s surface[1,2].However,its operation in the L-band makes it more
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