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The semantic description of remote sensing image is a useful and meaningful task, which can help us to get a better understanding of the scene depicted in the remote sensing images and make better use of the remote sensing images. Nature language provides good solution for describing the semantic information of remote sensing images. Nature language description of a remote sensing image is to generate...
This paper presents our on-going work on the development of an output system for a THz gyro-multiplier. The beam-wave interaction and frequency multiplication in the gyro-multiplier generate two high-order modes at two distinguished frequencies. To convert the high-order waveguide modes into quasi-Gaussian beams and separate the two frequencies, a quasi-optical mode converter (QMC) and a frequency...
We proposed a deep Convolutional Neural Network (CNN) approach and a Multi-View Stacking Ensemble (MVSE) method in Ali Mobile Recommendation Algorithm competition Season 1 and Season 2, respectively. Specifically, we treat the recommendation task as a classical binary classification problem. We thereby designed a large amount of indicative features based on the logic of mobile business, and grouped...
Effective prediction of unobservable degradation can assist to schedule preventive maintenance and reduce unexpected downtime for realistic industrial systems. In this paper, an extended time-/condition-based framework is proposed for the Probability Density Function (PDF) prediction of unobservable industrial wear. Furthering our earlier work of unobservable degradation estimation, a stage-based...
To improve the interoperability and controllable of high voltage switch equipment, this paper puts forward the motor driver operating mechanism which applied to the circuit breaker. Developed prototype motor and drive control system, established the test system platform, selected the sensors, completed the dynamic characteristics testing. The experimental results show that the motor meet the requirements...
A relatively underexplored question in fMRI is whether there are intrinsic differences in terms of signal composition patterns that can effectively characterize and differentiate task-based and resting state fMRI (tfMRI or rsfMRI) signals. In this paper, we propose a novel two-stage sparse representation framework to examine the fundamental difference between tfMRI and rsfMRI signals. In the first...
Person re-identification is an important problem of matching persons across non-overlapping camera views. However, the re-identification is still far from achieving reliable matching. First, many existing approaches are wholebody- based matching, and how body parts could affect and assist the matching is still not clearly known. Second, the learned similarity measurement/metric is equally used for...
With the large-scale distributed system plays an increasingly important role in such fields as national security, critical infrastructure and social life, its vulnerability analysis problem has become a growing focus nowadays. As a vulnerability analysis object, a multi-layer model is put forward firstly, and then a multi-dimension vulnerability analysis framework of large-scale distributed system...
The prototype of limited angle permanent magnet motor and the performance testing are researched based on the mechanical property requirements of 40.5kV vacuum circuit breaker. The system of performance testing is accomplished according to the permanent magnet motor and circuit breaker. Sensors with high precision are selected, and the circuit and method of testing are designed. The mechanical characteristics...
The mechanical properties monitoring system of permanent magnet motor operating mechanism is developed base on the indoor 40.5kV vacuum circuit breaker in order to improve the security and reliability of power system. The high-precision linear displacement sensor is used to measure the stroke of moving contact, the angular sensor is employed to test the rotation angle of motor, and the hall current...
Model-based testing helps test engineers automate their testing tasks so that they can be more cost-effective. When the model is changed due to the evolution of the specification, it is important to maintain the test suites up to date for regression testing. A complete regeneration of the whole test suite from the new model, although inefficient, is still frequently used in practice. To handle specification...
SOA has emerged as a new methodology for software development and system integration through composing existing web services. The basic idea of SOA bootstrap testing is to test and evaluate SOA middleware and applications by using existing SOA infrastructures. In this paper, we present a toolkit, named SOArMetrics, is proposed to enable the SOA bootstrap testing based on our existing SOA middleware,...
Development efficiency is an important factor for the Internet-scale software produced through services composition. In this paper, we aim at improving development efficiency from two aspects. One is to improve services discovery efficiency through recommendation, and the other is to provide a mechanism to reuse an existing composite service. We propose BestRec, a behavior similarity based approach...
Structural equation model is constructed to discuss the interaction between affecting factors of safety management capability of coal mine. Fundamental data is acquired from questionnaire of coal mine worker. 20 factors in all classified into four layers: worker, team, firm and environment are extracted in questionnaire. Taking factors of worker layer as endogenous latent variable, taking factors...
With the widespread application and fast development of gas and oil pipeline network in China, the pipeline inspection technology has been used more extensively. The magnetic flux leakage (MFL) method has established itself as the most widely used in-line inspection technique for the evaluation of gas and oil pipelines. This paper presents the typical three dimensional (3D) defects were accurately...
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